Data Scientist Remote Jobs

76 Results

9h

Senior Data Scientist - Graph

Tiger AnalyticsDallas,Texas,United States, Remote
Design

Tiger Analytics is hiring a Remote Senior Data Scientist - Graph

Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce.

We are looking for a Senior Data Scientist with a good blend of data analytics background, who holds practical experience in Graphs/ Graph Analytics (social networks, transport networks, device networks, knowledge graphs, graph neural networks etc.)and has strong coding capabilities to add to our team.

Key Responsibilities:

  • Work on the latest applications of data science to solve business problems in AI and analytics.
  • Utilize advanced statistical techniques and data science algorithms to analyze large datasets and derive actionable insights.
  • Collaborate with cross-functional teams including understanding business requirements and
  • translate them into data-driven solutions.
  • Design and execute experiments to evaluate the effectiveness of different replenishment
  • strategies and allocation policies.
  • Stay abreast of industry trends and best practices in data science and leverage this knowledge to drive innovation within the organization.
  • Collaborate, coach, and learn with a growing team of experienced Data Scientists.

  • Proven experience of 7+ years working as a Data Scientist, with a focus on Graphs/ Graph Analytics.
  • Bachelor’s or Master’s degree in Computer Science, Statistics, applied mathematics or related fields
  • Solid understanding of statistical methods, optimization techniques, and predictive modeling
  • concepts.
  • Knowledge and working experience with NLP techniques and semantic similarity algorithms is preferred.
  • Knowledge of and practical working experience on Graphs/ Graph Analytics (social networks, transport networks, device networks, knowledge graphs, graph neural networks etc.)
  • Knowledge of Graph databases like Neo4j, Tiger Graph, Blaze Graph, etc. would be preferred.
  • Exceptional communication and collaboration skills to understand business partner needs and
  • deliver solutions.
  • Bias for action, with the ability to deliver outstanding results through task prioritization and time
  • management.

This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

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2d

Sr. Data Scientist

ML7 years of experiencesqlDesignazurepythonAWS

Alto Pharmacy is hiring a Remote Sr. Data Scientist

Alto Pharmacy is a full-service, digitally-powered pharmacy that makes it simple to live your healthiest life by providing an easier, more supportive and more affordable pharmacy experience. We’re redefining what a pharmacy can do, with fast and reliable prescription delivery, tools like treatment reminders and medication bundling, direct access to care specialists, and support with insurance and cost savings. By focusing on the person behind the prescription, our model boosts adherence, improves health outcomes, and keeps our customers returning month after month. Learn more at www.alto.com.

About the Role

To achieve our vision, we continue to invest in our Data Science & Analytics team to make a difference to our patients and providers. Our Data Science team collaborates closely with Product & Engineering to tackle the most challenging and impactful problems transforming retail pharmacy with a focus on prescription processing efficiency and dispensing accuracy. Data Scientists are responsible for the full life cycle model development of ideation, prototyping, testing, deployment, and maintenance. Your expertise in NLP, reinforcement learning, and large language models will be critical in driving innovation and improving the efficiency and accuracy of our supply chain.

Accelerate Your Career as You

  • Be a thought leader in the ML space and continue to identify opportunities to build intelligence and automate prescription processing while maintaining industry leading patient safety standards
  • Design, develop, deploy, and maintain statistical and machine learning solutions leveraging NLP, generative AI, and reinforcement learning
  • Push the envelope on our operational efficiency by continually refining and advancing our algorithms and models
  • Collaborate closely with product managers, software engineers, data scientists, and pharmacists to deeply understand Alto’s business needs and create impactful ML applications
  • Communicate complex technical concepts to non-technical stakeholders.
  • Mentor junior data scientists and contribute to the development of best practices within the Data Science team.

A Bit About You

Minimum Qualifications:

  • Master's degree in a quantitative field, such as Mathematics, Computer Science, Accounting, Engineering, or Economics.
  • Five years or more of experience as a Data Scientist or a BA/BS degree in a quantitative field with at least 7 years of experience as a Data Scientist.
  • Demonstrated experience developing machine learning models with business impact, and shipping ML/AI solutions to production.
  • Demonstrated experience with NLP, LLMs, Generative AI, and/or Reinforcement Learning.
  • Strong programming background in Python, high level of proficiency in SQL and Machine Learning (scikit-learn, XGBoost, Keras/Tensorflow) tools.
  • Strong written and verbal communication skills with the ability to inform and influence a non-technical audience using insights found through complex technical concepts.
  • Strong analytical and critical thinking skills with a strong bias toward actionable insights; love finding insights and getting others to act on them.
  • Expertise using project management fundamentals and applying data-based prioritization and trade-off decision making

Preferred Qualifications: 

  • PhD in a quantitative field, such as Mathematics, Computer Science, Accounting, Engineering, or EconomicsExperience in healthcare or pharmaceutical industry
  • Experience with supply chain optimization, marketplaces, or logistics.
  • Proficiency in using cloud platforms such as AWS, Google Cloud, or Azure leveraging toolkits such as Kubeflow

Additional Physical Job Requirements

  • Reading English, comprehending, and following simple oral and written instructions. 
  • The worker is required to have close visual acuity to perform an activity such as: preparing and analyzing data and figures; transcribing; viewing a computer terminal; extensive reading.  Assessing the accuracy, neatness and thoroughness of the work assigned.
  • Expressing or exchanging ideas by means of the spoken word; those activities where detailed or important spoken instructions must be conveyed to other workers accurately, loudly, or quickly. 
  • Perceiving the nature of sounds at normal speaking levels with or without correction, and having the ability to receive detailed information through oral communication, and making fine discriminations in sound. 
  • Frequent repeating motions required to operate a computer or phone that may include the wrists, hands and/or fingers.
  • Environmental Conditions: occasional exposure to low temperatures or high temperatures, outdoor elements such as precipitation and wind, and noisy environments.
  • Physical Activities: 
    • Occasionally ascending or descending stairs, ramps and the like.
    • Moving about to accomplish tasks and/or moving from one worksite to another. 
    • Adjusting or moving objects up to 20 pounds in all directions. 
    • Operating motor vehicles.
    • Occasional sedentary work that primarily involves sitting/standing/driving/flying

Salary Range: $157,600- $197,000 

Commission Eligible: No

Equity Eligible: Yes

Travel: Yes - Required up to 10% of the time  

Location Requirement: Employment at Alto is limited to individuals residing in the following states: California, Connecticut, Colorado, Florida, Nevada, Illinois, New York, Kansas, Texas, Maryland, Washington (WA), Missouri, New Jersey, North Carolina, Oregon, Pennsylvania, South Carolina, Tennessee, Wisconsin.

Employment Requirement: Applicants must be authorized to work for any employer in the U.S.  At this time, Alto is unable to sponsor or take over sponsorship of an employment Visa.

Benefits: Full-time: Medical, Dental, Vision, 401(k), Group Life, AD&D, Employer paid STD/LTD, generous PTO and parental leave.  

Application deadline: August 15, 2024

#LI-Remote

 

Alto Pharmacy is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis. 

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. We are an E-Verify company.

To learn about Alto's privacy practices including compliance with applicable privacy laws, please click here

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3d

Lead Data Scientist

Ability to travelpython

Entertainment Benefits Group is hiring a Remote Lead Data Scientist

Job Description

EBG has an opening for a talented and experienced Lead Data Scientist to join our dynamic team. The ideal candidate will have a passion for deriving actionable insights from complex datasets and a strong background in machine learning (supervised, semi-supervised & unsupervised), statistical analysis, and data visualization. This is a primarily remote role.

  • Conduct exploratory data analysis to identify patterns, trends, and anomalies within large datasets.
  • Develop predictive models and machine learning algorithms to solve business problems and improve decision-making processes.
  • Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions.
  • Clean, preprocess, and manipulate data to ensure accuracy, completeness, and consistency.
  • Implement and deploy scalable solutions for data processing, model training, and evaluation.
  • Interpret model results and communicate findings to stakeholders in a clear and concise manner.
  • Stay updated on the latest advancements in data science, machine learning, and related fields.
  • Mentor junior team members and provide guidance on best practices in data analysis and model development.

Qualifications

  • Master's degree or PhD in Data Science, Machine Learning, AI, Computer Science, Statistics, Mathematics, or a related field. PhD preferred
  • Proven experience (3+ years post graduate) as a Sr. or Lead Data Scientist in a fast-paced, commercial environment
  • Have developed algorithms or implemented solutions that include classification, predictive analytics, product recommendation, pattern recognition, sentiment analysis. (E-commerce experience preferred)
  • Proficiency in machine learning (supervised, semi-supervised & unsupervised)
  • Proficiency in Python, specifically using its data manipulation libraries
  • Knowledge and experience with NLP (Natural Language Processing) algorithims and libraries within Python and related languages such as R or Scala. 
  • Strong knowledge of statistical analysis techniques, machine learning algorithms, and data visualization tools
  • Experience with big data technologies such as Spark and TensorFlow is a plus
  • Excellent problem-solving skills and ability to work independently as well as part of a team
  • Strong communication and interpersonal skills, with the ability to explain complex concepts to non-technical stakeholders
  • Experience working on teams, across functions and able to present to both technical and non-technical audiences and stakeholders
  • Demonstrated ability to manage multiple projects simultaneously and prioritize tasks effectively
  • Ability to travel on occasion

*EBG does not offer sponsorship

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3d

Senior Data Scientist - Marketing

SquareSan Francisco, CA, Remote
Bachelor degreetableauairflowsqlDesignpython

Square is hiring a Remote Senior Data Scientist - Marketing

Job Description

The Data Science team at Cash App derives valuable insights from our extremely unique datasets and turns those insights into actions that improve the experience for our customers every day. As a Marketing Data Scientist, you will play a critical role in accelerating Cash App’s growth by creating and improving how we measure the impact of all our marketing efforts.

In this role, you’ll be embedded in our Marketing organization and work closely with marketers, product management as well as other cross-functional partners to make effective spend decisions across marketing channels, understand the impact of incentives and explore new opportunities to enable Cash App to become the top provider of primary banking services to our customers.

You will:

  • Build models to optimize our marketing efforts to ensure our spend has the best possible ROI
  • Design and analyze A/B experiments to evaluate the impact of marketing campaigns we launch
  • Analyze large datasets using SQL and scripting languages to surface actionable insights and opportunities to the Marketing product team and other key stakeholders
  • Partner directly with the Cash App Marketing org to influence their roadmap and define success metrics to understand the impact to business,
  • Approach problems from first principles, using a variety of statistical and mathematical modeling techniques to research and understand customer behavior & segments
  • Build, forecast, and report on metrics that drive strategy and facilitate decision making for key business initiatives
  • Write code to effectively process, cleanse, and combine data sources in unique and useful ways, often resulting in curated ETL datasets that are easily used by the broader team
  • Build and share data visualizations and self-serve dashboards for your partners
  • Effectively communicate your work with team leads and cross-functional stakeholders on a regular basis

Qualifications

You have:

  • A bachelor degree in statistics, data science, or similar STEM field with 7+ years of experience in a relevant role OR
  • A graduate degree in statistics, data science, or similar STEM field with 5+ years of experience in a relevant role
  • Advanced proficiency with SQL and data visualization tools (e.g. Tableau, Looker, etc)
  • Experience with scripting and data analysis programming languages, such as Python or R
  • Worked extensively with Causal Inference techniques and off platform data
  • A knack for turning ambiguous problems into clear deliverables and actionable insights 
  • Gone deep with cohort and funnel analyses, a deep understanding statistical concepts such as selection bias, probability distributions, and conditional probabilities
  • Experience working with customer acquisition data
  • Managed relationships with external vendors

Technologies we use and teach:

  • SQL, Snowflake, etc.
  • Python (Pandas, Numpy)
  • Tableau, Airflow, Looker, Mode, Prefect

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6d

Lead Data Scientist

Tiger AnalyticsBarcelona,Catalonia,Spain, Remote

Tiger Analytics is hiring a Remote Lead Data Scientist

Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce.

We are also market leaders in AI and analytics consulting in the retail & CPG industry with over 40% of our revenues coming from the sector. This is our fastest-growing sector, and we are beefing up our talent in the space.

We are looking for aLead Data Scientist with a good blend of data analytics background, who holds solid knowledge of Retail and CPG space, quick learner, and has strong coding capabilities to add to our team.

Responsibilities

  • Work on the latest applications of data science to solve business problems in analytics space of Retail.
  • Effectively communicate the analytics approach and how it will meet and address objectives to business partners.
  • Lead data analytic and modeling approaches; integrate solutions collaboratively into applications and tools with data engineers, business leads, analysts, and developers.
  • Create repeatable, interpretable, dynamic, and scalable models seamlessly incorporated into analytic data products.
  • Collaborate, coach, and learn with a growing team of experienced Data Scientists.
  • Stay connected with external sources of ideas through conferences and community engagements.
  • Support demands from regulators, investor relations, etc., to develop innovative solutions to meet objectives utilizing cutting-edge techniques and tools.

  • >8 years of Data Science experience required.
  • Graduate Degree in Data Science, Computer Science, or a related field is required
  • At least 5 years of recent experience in CPG and Retail space.
  • Strong Python coding with production experience is preferred, ML ops knowledge and experience is a plus
  • Excellent domain knowledge in retail/Ecom marketing 
  • Ability to apply various analytical models to business use cases
  • Exceptional communication and collaboration skills to understand business partner needs and deliver solutions.
  • Bias for action, with the ability to deliver outstanding results through task prioritization and time management.
  • Be proactive, curious, can-do attitude, flexible personality

This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

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8d

Senior Data Scientist

SmartMessageİstanbul, TR - Remote
MLS3SQSLambdaMaster’s DegreenosqlmongodbazurepythonAWS

SmartMessage is hiring a Remote Senior Data Scientist

Who are we?

We are a globally expanding software technology company that helps brands communicate more effectively with their audiences. We are looking forward to expand our people capabilities and success in developing high-end solutions beyond existing boundaries and establish our brand as a Global Powerhouse.

We are free to work from wherever we want and go to the office whenever we like!!!

What is the role?

We are seeking an innovative and analytical Senior Data Scientist to join our growing team. The ideal candidate will have a strong background in machine learning, AI, and data analysis. You will work on developing models and algorithms to enhance our RTDM capabilities and drive data-driven decision-making.

Key Responsibilities:

  • Develop, implement, and maintain machine learning models and algorithms.
  • Work with large datasets to extract insights and drive data-driven decisions.
  • Collaborate with data engineers to build scalable data solutions.
  • Utilize cloud-based data platforms (e.g., S3, Redshift, Lambda, Kinesis, EMR).
  • Conduct exploratory data analysis and feature engineering.
  • Choose appropriate algorithms based on the problem type and data characteristics.
  • Implement and optimize AI and neural network models.
  • Create data visualizations and reports to communicate findings.
  • Stay current with the latest research and advancements in data science and AI.
  • Mentor and guide junior data scientists and analysts.

Technical Expertise:

  • Proficiency in Python and data science libraries (e.g., TensorFlow, scikit-learn, PyTorch).
  • Strong experience with noSQL databases (e.g., MongoDB, Cassandra) and big data technologies (e.g., Spark, Hadoop).
  • Experience with cloud platforms (e.g., AWS, GCP, Azure).
  • Knowledge of data engineering processes and data integration.
  • Familiarity with graph databases (e.g., Neo4j) and message queues (e.g., Kafka, SQS).
  • Experience with a wide range of ML and AI algorithms:
  • Supervised Learning:Linear Regression, Logistic Regression, SVM, Naive Bayes, Decision Trees, Random Forests, Gradient Boosting Machines (GBM), AdaBoost, K-Nearest Neighbors (KNN), Neural Networks.
  • Unsupervised Learning: K-Means Clustering, Hierarchical Clustering, Principal Component Analysis (PCA), Anomaly Detection, Autoencoders, Generative Adversarial Networks (GANs).
  • Reinforcement Learning: Q-Learning, Deep Q-Networks (DQN), Policy Gradient Methods, Actor-Critic Methods.
  • Deep Learning: Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Long Short-Term Memory Networks (LSTMs), Transformer Models (e.g., BERT, GPT), Capsule Networks.
  • Predictive Recommendation Engines: Collaborative Filtering, Content-Based Filtering, Hybrid Systems.

Qualifications:

  • Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or related field.
  • 5+ years of experience in data science or related roles.
  • Understand the business problem and its relevance to business objectives.
  • Evaluate model performance using appropriate metrics.
  • Strong analytical and problem-solving skills.
  • Excellent communication and teamwork skills.
  • Entrepreneurial spirit and a passion for continuous learning.

Join our team!

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9d

Data Scientist

Mid LevelFull TimeMaster’s DegreeDesignazurepython

K2 Integrity is hiring a Remote Data Scientist

Data Scientist - K2 Integrity - Career Page { "@type": "Organization"

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9d

Senior Data Scientist

6senseUnited States, Remote
SalessqlB2BDesignc++python

6sense is hiring a Remote Senior Data Scientist

Our Mission: 

6sense is on a mission to revolutionize how B2B organizations create revenue by predicting customers most likely to buy and recommending the best course of action to engage anonymous buying teams. 6sense Revenue AI is the only sales and marketing platform to unlock the ability to create, manage and convert high-quality pipeline to revenue. 

Our People: 

People are the heart and soul of 6sense. We serve with passion and purpose. We live by our Being 6sense values of Accountability, Growth Mindset, Integrity, Fun and One Team. Every 6sensor plays a part in defining the future of our industry-leading technology.  6sense is a place where difference-makers roll up their sleeves, take risks, act with integrity, and measure success by the value we create for our customers. 

We want 6sense to be the best chapter of your career. 

Purpose of the Job 

Sr Data Scientist leads and drives strategic AI solutions, leveraging advanced data science expertise and innovative problem-solving skills. As a Senior Data Scientist, the role involves designing complex AI solutions aligned with business objectives, utilizing a deep understanding of cutting-edge algorithms and methodologies. This position focuses on continuous learning and adaptation to emerging technologies, ensuring the highest level of technical mastery. Additionally, the role emphasizes collaboration, mentorship, and thought leadership to contribute to the organization's growth and maintain a standard of excellence in AI solution design and deployment.  

Responsibilities & Accountabilities 

  • AI Solution Design and Development: Lead the design and development of AI solutions, identifying complex business problems and developing high-level architectures with minimal guidance.
  • Evaluate various algorithms and data sets to determine the most effective solutions for given business problems, ensuring optimal model performance.
  • Handle AI solution requirement gathering, design, and development process management to meet business objectives and stakeholder needs.
  • Effectively communicate insights, recommendations, and AI solution progress to stakeholders, ensuring alignment with business goals.
  • Develop customized models tailored to specific business problems using advanced machine learning algorithms and handling complex and unstructured data sets.
  • Proactively identify new opportunities for data-driven insights and innovations, staying updated with emerging trends and methodologies in data science.
  • Develop and implement complex AI models, leverage transfer learning, ensemble methods, and integrate AI solutions into complex systems or workflows.
  • Create and modify workflows, automate routine tasks, identify inefficiencies, and suggest solutions to streamline processes for improved productivity.
  • Utilize advanced analytics techniques to extract insights, develop data-driven strategies, and align business objectives with innovative data science solutions.
  • Maintain expertise in cutting-edge technologies, continuously develop skills in advanced data manipulation, AI development frameworks, and data analysis tools.
  • Prioritize business objectives, deeply understand target users, create user personas, measure product success, and communicate insights to both technical and non-technical stakeholders.
  • Implement continuous integration/continuous deployment methodologies, manage code modularization, version control, and maintain well-documented, maintainable code.
  • Collaborate with other developers, share expertise, and align business goals with data science initiatives through effective teamwork and knowledge sharing.
  • Apply best practices for AI solution design, testing, validation, and adhere to ethical guidelines while ensuring the accuracy, consistency, and reliability of AI models and solutions. 

Performance Measurement 

  • Solution Effectiveness: Measure the effectiveness and impact of AI solutions in addressing complex business problems and achieving set objectives.
  • Model Performance and Innovation: Assess the performance and innovation of AI models developed, considering advancements in algorithms, techniques, and their impact on problem-solving.
  • Stakeholder Satisfaction: Evaluate stakeholder satisfaction and feedback regarding AI solution communication, alignment with business goals, and meeting expectations.
  • Process Efficiency and Automation Impact: Measure the impact of process optimizations, workflow automation, and suggestions for efficiency improvements in data-related tasks.
  • Product Alignment and User Impact: Evaluate how data-driven insights and solutions align with the product vision, user needs, and positively impact product development and user experience.
  • Continuous Learning and Skills Development: Assess the commitment to continuous learning, skill development, and staying updated with emerging trends and technologies in the data science field.
  • Collaboration and Knowledge Sharing: Measure collaboration effectiveness, knowledge sharing, and the ability to work within a team to integrate AI solutions into complex systems or workflows.
  • Quality Assurance and Compliance: Evaluate adherence to AI solution design best practices, ethical guidelines, and compliance with security and regulatory requirements.
  • Efficient Deployment and Code Management: Assess efficiency in deploying AI models, effective use of CI/CD methodologies, and maintaining modular, well-documented, and maintainable code. 

Educational and Experience Requirements 

  • Ph.D. or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
  • Minimum of 5-7 years of hands-on experience in data analysis, machine learning model development, AI solution design, and deployment.  
  • Proficient in Python, SQL, Pytorch or Tensorflow.
  • Hands on experience with NLP and large language models (LLMs).
  • Proven experience in leading the design, development, and deployment of AI solutions to solve complex business problems.  
  • Proficiency in advanced statistical methods, machine learning algorithms, and deep learning techniques, along with the ability to derive insights from unstructured data.  
  • Expertise in developing customized models, applying advanced machine learning algorithms, handling complex data sets, and leveraging ensemble learning.  
  • Demonstrated thought leadership, innovative problem-solving abilities, and a track record of contributing to advancements in the field of data science.  
  • Experience collaborating with various teams, stakeholders, and taking a leadership role in driving innovation and change within the organization.  
  • Proficiency in automating workflows, optimizing processes, and identifying inefficiencies to streamline data-related tasks.  
  • Proven ability to align data science initiatives with product goals, understand user needs, and utilize advanced analytics for product enhancement.  
  • Proficiency in implementing continuous integration/continuous deployment methodologies and ensuring modular, well-structured, and maintainable code.  
  • Contributions to research publications, patents, or academic achievements in the field of data science and related domains.  
  • Understanding of AI security, compliance requirements, and ability to design solutions that meet regulatory standards.  
  • Active engagement with the industry, such as speaking at conferences, participating in industry forums, or contributing to open-source projects.  
  • Leadership experience in guiding teams, mentoring junior data scientists, and providing technical direction for projects.  
  • Publications, research contributions, or teaching experience in the field of data science would be a plus. 

Competencies and Behaviors 

  • Demonstrate a high level of technical mastery in advanced statistical methods, machine learning algorithms, and deep learning concepts. 
  • Ability to design AI solutions strategically by understanding complex business problems, evaluating algorithms, and aligning solutions with business objectives.
  • Drive innovation by proactively identifying new opportunities for data-driven insights and leveraging cutting-edge technologies and methodologies. 
  • Communicate effectively with stakeholders, aligning business objectives with data science goals, and presenting insights in a clear and impactful manner.  
  • Exhibit expertise in developing and implementing advanced machine learning models, customizing models, and leveraging ensemble learning techniques.  
  • Display a continuous learning mindset, staying updated with emerging trends, technologies, and methodologies in the ever-evolving field of data science.  
  • Drive process optimization by creating and modifying workflows, automating routine tasks, and suggesting solutions to improve productivity and accuracy.  
  • Collaborate effectively with cross-functional teams, share knowledge, and contribute to a culture of teamwork and collaboration.  
  • Align data science initiatives with the product vision, focusing on user needs, product metrics, and leveraging advanced analytics to drive product enhancements.  
  • Adhere to AI solution design best practices, ensuring model accuracy, reliability, and compliance with ethical and security standards.  
  • Contribute to the educational field through publications, research, or teaching activities, enhancing the collective knowledge in the domain of data science.  
  • Leadership and Mentorship: Provide leadership by guiding teams, mentoring junior data scientists, and setting technical direction for projects, fostering a culture of growth and development.  
  • Engage with the industry, demonstrate thought leadership, and contribute to advancements in the field, showcasing expertise and insights at conferences or forums.  
  • Ensure efficient deployment of AI models, modularized and well-documented code, and adherence to best practices in code management and version control. 

 

Base Salary Range: $155,636 to $228,267. The base salary range represents the anticipated low and high end of the base salary range for this position. Actual salaries may vary and may be above or below the range based on various factors, including but not limited to work location and experience. The base salary is one component of 6sense’s total compensation package for this position. Other compensation may include a bonus program or commission plan, and stock options if approved by 6sense’s board. In addition, 6sense provides a variety of benefits, including generous health insurance coverage, life, and disability insurance, a 401K employer matching program, paid holidays, self-care days, and paid time off (PTO). #Li-remote

Notice of Collection and Use of Personal Information for California Residents:California Recruitment Privacy Notice and Policy

Our Benefits: 

Full-time employees can take advantage of health coverage, paid parental leave, generous paid time-off and holidays, quarterly self-care days off, and stock options. We’ll make sure you have the equipment and support you need to work and connect with your teams, at home or in one of our offices. 

We have a growth mindset culture that is represented in all that we do, from onboarding through to numerous learning and development initiatives including access to our LinkedIn Learning platform. Employee well-being is also top of mind for us. We host quarterly wellness education sessions to encourage self care and personal growth. From wellness days to ERG-hosted events, we celebrate and energize all 6sense employees and their backgrounds. 

Equal Opportunity Employer: 

6sense is an Equal Employment Opportunity and Affirmative Action Employers. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries tojobs@6sense.com. 

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15d

Senior Data Scientist

BrazeRemote - Ontario
MLSales

Braze is hiring a Remote Senior Data Scientist

At Braze, we have found our people. We’re a genuinely approachable, exceptionally kind, and intensely passionate crew.

We seek to ignite that passion by setting high standards, championing teamwork, and creating work-life harmony as we collectively navigate rapid growth on a global scale while striving for greater equity and opportunity – inside and outside our organization.

To flourish here, you must be prepared to set a high bar for yourself and those around you. There is always a way to contribute: Acting with autonomy, having accountability and being open to new perspectives are essential to our continued success. Our deep curiosity to learn and our eagerness to share diverse passions with others gives us balance and injects a one-of-a-kind vibrancy into our culture.

If you are driven to solve exhilarating challenges and have a bias toward action in the face of change, you will be empowered to make a real impact here, with a sharp and passionate team at your back. If Braze sounds like a place where you can thrive, we can’t wait to meet you.

WHAT YOU’LL DO

Braze is seeking a Senior Data Scientist to join our Intelligence team. The Braze Intelligence team’s mission is to deliver a truly engaging and personalized customer experience through the creation of ML and AI enhanced marketing solutions.  You will help discover the scope of what is possible to improve customer engagement at scale. From that space of possibilities, you will also help select and support specific solutions as they go from prototype to product.

As a Data Scientist, you will:

  • Collaborate with Product Managers and Engineers to build innovative ways to leverage data and improve decision-making for our customers
  • Explore and analyze the billions of daily data points that Braze’s customers generate in search of predictive, valuable, actionable signals
  • Build, analyze, and iterate on models that are best suited for the job, whether that’s supervised & unsupervised learning, reinforcement learning, neural networks, or simple regressions

WHO YOU ARE

  • 5+ years of experience in the technology industry
  • 5+ years of experience working with cloud or distributed systems and large customer datasets 
  • Ph.D. in Computer Science, Applied Mathematics, or significant experience developing and deploying machine learning systems
  • Extensive experience prototyping, refining, and deploying predictive models and machine learning & AI neural networks
  • Experience working with Data Stores and frameworks such as TensorFlow and PyTorch

WHAT WE OFFER

Details of these benefits plan will be provided if a candidate receives an offer of employment. Benefits may vary by location.

From offering comprehensive benefits to fostering flexible environments, we’ve got you covered so you can prioritize work-life harmony.

  • Competitive compensation that may include equity
  • Retirement and Employee Stock Purchase Plans
  • Flexible paid time off
  • Comprehensive benefit plans covering medical, dental, vision, life, and disability
  • Family services that include fertility benefits and equal paid parental leave
  • Professional development supported by formal career pathing, learning platforms, and tuition reimbursement
  • Community engagement opportunities throughout the year, including an annual company wide Volunteer Week
  • Employee Resource Groups that provide supportive communities within Braze
  • Collaborative, transparent, and fun culture recognized as a Great Place to Work®

ABOUT BRAZE

Braze is a leading customer engagement platform that powers lasting connections between consumers and brands they love. Braze allows any marketer to collect and take action on any amount of data from any source, so they can creatively engage with customers in real time, across channels from one platform. From cross-channel messaging and journey orchestration to Al-powered experimentation and optimization, Braze enables companies to build and maintain absolutely engaging relationships with their customers that foster growth and loyalty.

Braze is proudly certified as a Great Place to Work® in the U.S., the UK and Singapore. We ranked #3 on Great Place to Work UK’s 2024 Best Workplaces (Large), #3 on Great Place to Work UK’s 2023 Best Workplaces for Wellbeing (Medium), #4 on Great Place to Work’s 2023 Best Workplaces in Europe (Medium), #10 on Great Place to Work UK’s 2023 Best Workplaces for Women (Large), #19 on Fortune’s 2023 Best Workplaces in New York (Large). We were also featured in Built In's 2024 Best Places to Work, U.S. News Best Technology Companies to Work For, and Great Place to Work UK’s 2023 Best Workplaces in Tech.

You’ll find many of us at headquarters in New York City or around the world in Austin, Berlin, Chicago, Jakarta, London, Paris, San Francisco, Singapore, Sydney and Tokyo – not to mention our employees in nearly 50 remote locations.

BRAZE IS AN EQUAL OPPORTUNITY EMPLOYER

At Braze, we strive to create equitable growth and opportunities inside and outside the organization.

Building meaningful connections is at the heart of everything we do, and that includes our recruiting practices. We're committed to offering all candidates a fair, accessible, and inclusive experience – regardless of age, color, disability, gender identity, marital status, maternity, national origin, pregnancy, race, religion, sex, sexual orientation, or status as a protected veteran. When applying and interviewing with Braze, we want you to feel comfortable showcasing what makes you you.

We know that sometimes different circumstances can lead talented people to hesitate to apply for a role unless they meet 100% of the criteria. If this sounds familiar, we encourage you to apply, as we’d love to meet you.

Please see ourCandidate Privacy Policy for more information on how Braze processes your personal information during the recruitment process and, if applicable based on your location, how you can exercise any privacy rights.

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16d

Data Scientist

Proten International Limitedlagos, Nigeria, Remote
python

Proten International Limited is hiring a Remote Data Scientist

Job Description

Job Summary:
We are actively seeking talented Data Scientists & Data Analysts proficient in Python to join our ambitious team dedicated to pushing the frontiers of AI technology. This opportunity is tailored for professionals who thrive on developing innovative solutions and aspire to be at the forefront of AI advancements. 

Responsibilities:

  • write effective Python code to tackle complex issues but also use your business sense and analytical abilities to glean valuable insights from public databases fix bugs in the code, and create thorough documentation.
  • will communicate clearly with researchers, and help the organization in realizing its objectives.
  • You will work with companies looking to develop cutting-edge commercial and research AI solutions.
  • clearly express the reasoning and logic when writing code in Jupyter notebooks, or other suitable mediums. It will also utilize extensive data analysis skills to develop and respond to important business queries using available datasets (such as those from Kaggle, the UN, the US government, etc.)

Qualifications

 

● Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent
experience)
● 3 years of relevant experience in Data Science or Data Analysis
● 3+ years of experience working with Python programming
● A desire to have a significant impact on the field of artificial intelligence
● Strong data analytic abilities and business sense are required to draw the appropriate
conclusions from the dataset, respond to those conclusions, and convey the key findings
● Excellent problem-solving and analytical skills
● Excellent communication abilities to work with stakeholders and researchers
successfully
● Fluent in conversational and written English communication skills

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16d

Statistician/Data Scientist

Torc RoboticsBlacksburg, VA; Remote - US
MLBachelor's degreeterraformsqlDesignc++pythonAWS

Torc Robotics is hiring a Remote Statistician/Data Scientist

About the Company

At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business.

A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight.

Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.

Meet the team:

The Safety Data Analysis Team within Torc’s Safety and Regulatory Department is responsible for providing the company with internal, but independent, oversight related to safety. The team includes accomplished experts in the areas of safety standards, safety management, and large-scale safety data analyses. This team collaborates across all areas of Torc, including product engineering, product safety & release, fleet operations, autonomy, simulation, and others to both foster a positive safety culture and identify solutions to controlling risk. As part of this team, you will be identifying solutions that build safety and trustworthiness into commercially successful automated driving systems.

What you will do:

  • The Safety Data Analysis Team within Torc’s Safety and Regulatory Department is responsible for providing the company with internal, but independent, oversight related to safety. The team includes accomplished experts in the areas of safety standards, safety management, and large-scale safety data analyses. This team collaborates across all areas of Torc, including product engineering, product safety & release, fleet operations, autonomy, simulation, and others to both foster a positive safety culture and identify solutions to controlling risk. As part of this team, you will be identifying solutions that build safety and trustworthiness into commercially successful automated driving systems.

  • The Statistician/Data Scientist, within the Safety Data Analysis Team will be using their statistical expertise to translate discussion from a variety of stakeholders into core questions and then robust designs that answer those questions. You will be answering safety assurance related questions relevant to transportation and autonomous driving systems.

  • Being a software and automated vehicle company, this role involves working with large-scale, heterogenous data that are generated by sensors in software testing and during on-road operations. Your day-to-day work will leverage Python and its scientific libraries as well as R. A large portion of this work will require integration of physics and engineering principles to prepare data and evaluate its accuracy. You will also be connecting analyses with development workflows to automate the safety related monitoring of the organization and development process.

  • Anticipate, research, and maintain facility with statistical methods used in ground transportation safety domain as well as analog domains

  • Identify and select appropriate analyses methods for data ranging in scale from dense to sparse; apply statistical principals to manage bias and select appropriate sampling strategies; develop models and compare using statistical performance metrics

  • Use an iterative method of data pre-processing, interactive visualization, and sharing of intermediate results to solicit early and ongoing guidance and buy-in from a variety of stakeholders

  • Construct continuous analysis workflows to support day-to-day operations, gateway decision making, and event response

  • Contribute to both impromptu discussions and planned gatherings to explain statistical approaches, weigh alternatives and provide robust statistical expertise

  • Reduce complex statistical concepts and findings to unbiased, understandable and relevant information to influence individual developers, teams, executives and external stakeholders

  • Translate methods and findings into clear and concise documentation

What you will need to succeed

  • Degree(s) in Statistics or related technical field with relevant experience as specified below:

    • MS degree with 4+ years of experience
    • PhD with 2+ years
  • Broad capabilities in statistical approaches and tools, both Bayesian and frequentist, experimental design, power analyses, ML, sparce/rare event analyses, time series analysis, categorical data analysis, multivariate analysis, and clustering

  • Experience across a range of statistical approaches applied to engineering and/or physics-based applications (for example, ground vehicles in motion); demonstrable programming competency, particularly in Python, SQL and R

  • Time management skills and the ability to track and prioritize tasks

  • Naturally inquisitive and an excellent strategic problem solver. Able to dissect complex problems, make appropriate tradeoffs, and develop thoughtful recommendations

  • Excellent interpersonal, verbal, and written communication skills to build trust and strong working relationships, effectively create and proofread documents and reports, and communicate to a diverse workforce

Bonus Points!

  • Training in systems safety and/or transportation safety

  • Experience in the automotive or heavy-vehicle industry

  • Experience in the autonomous vehicle industry

  • Experience working with NHTSA data sets, such as FARS, GES/CRSS, SGO

  • Machine learning experience

  • AWS, Terraform

Perks of Being a Full-time Torc’r  

Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:     

  • A competitive compensation package that includes a bonus component and stock options  
  • 100% paid medical, dental, and vision premiums for full-time employees    
  • 401K plan with a 6% employer match  
  • Flexibility in schedule and generous paid vacation (available immediately after start date) 
  • Company-wide holiday office closures  
  • AD+D and Life Insurance

 

Hiring Range for Job Opening 
US Pay Range
$145,900$175,100 USD

At Torc, we’re committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc’rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities.

Even if you don’t meet 100% of the qualifications listed for this opportunity, we encourage you to apply. 

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17d

Senior Data Scientist - Risk & Fraud

SquareSan Francisco, CA, Remote
Bachelor degreetableauairflowsqlDesignpython

Square is hiring a Remote Senior Data Scientist - Risk & Fraud

Job Description

The Data Science team at Cash App derives valuable insights from our extremely unique datasets and turns those insights into actions that improve the experience for our customers every day. In this role, you’ll be embedded in the Risk & Fraud organization and work closely with machine learning, product management as well as other cross-functional partners to drive strategy using a variety of data science techniques and own north star metric monitoring. Because our risk and fraud systems play such a critical role to the company and to protecting our users, a sense of urgency and appreciation for how our work impacts the customer experience is absolutely critical for this position.

As a Data Scientist you will:

  • Partner directly with the Cash App Risk & Fraud org, working closely with machine learning, operations, engineers, product, legal, and compliance teams
  • Analyze large datasets using SQL and scripting languages to surface actionable insights and opportunities to the product team and other key stakeholders
  • Approach problems from first principles, using a variety of statistical and mathematical modeling techniques to research and understand customer behavior
  • Design and analyze A/B experiments to evaluate the impact of changes and optimize our risk actions
  • Work with engineers to log new, useful data sources to reflect our risk and product features
  • Build, forecast, and report on metrics that drive strategy and facilitate decision making for key business initiatives
  • Write code to effectively process, cleanse, and combine data sources in unique and useful ways, often resulting in curated ETL datasets that are easily used by the broader team
  • Build and share data visualizations and self-serve dashboards for your partners
  • Effectively communicate your work with team leads and cross-functional stakeholders on a regular basis

Qualifications

You have:

  • Previous exposure to or interest in areas like risk, fraud, statistical reporting methods, or regulatory data science
  • A bachelor degree in statistics, data science, or similar STEM field with 4+ years of experience in a relevant role OR
  • A graduate degree in statistics, data science, or similar STEM field with 2+ years of experience in a relevant role
  • Advanced proficiency with SQL and data visualization tools (e.g. Tableau, Looker, etc)
  • Experience with scripting and data analysis programming languages, such as Python or R
  • Gone deep with cohort and funnel analyses, a deep understanding statistical concepts such as selection bias, probability distributions, and conditional probabilities
     

Technologies we use and teach:

  • SQL, Snowflake, etc.
  • Python (Pandas, Numpy)
  • Tableau, Airflow, Looker, Mode, Prefect

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17d

Senior Data Scientist - Graph

Tiger Analytics,New Jersey,United States, Remote
Design

Tiger Analytics is hiring a Remote Senior Data Scientist - Graph

Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce.

We are looking for a Senior Data Scientist with a good blend of data analytics background, who holds practical experience in Graphs/ Graph Analytics (social networks, transport networks, device networks, knowledge graphs, graph neural networks etc.)and has strong coding capabilities to add to our team.

Key Responsibilities:

  • Work on the latest applications of data science to solve business problems in AI and analytics.
  • Utilize advanced statistical techniques and data science algorithms to analyze large datasets and derive actionable insights.
  • Collaborate with cross-functional teams including understanding business requirements and
  • translate them into data-driven solutions.
  • Design and execute experiments to evaluate the effectiveness of different replenishment
  • strategies and allocation policies.
  • Stay abreast of industry trends and best practices in data science and leverage this knowledge to drive innovation within the organization.
  • Collaborate, coach, and learn with a growing team of experienced Data Scientists.

  • Proven experience of 7+ years working as a Data Scientist, with a focus on Graphs/ Graph Analytics.
  • Bachelor’s or Master’s degree in Computer Science, Statistics, applied mathematics or related fields
  • Solid understanding of statistical methods, optimization techniques, and predictive modeling
  • concepts.
  • Knowledge and working experience with NLP techniques and semantic similarity algorithms is preferred.
  • Knowledge of and practical working experience on Graphs/ Graph Analytics (social networks, transport networks, device networks, knowledge graphs, graph neural networks etc.)
  • Knowledge of Graph databases like Neo4j, Tiger Graph, Blaze Graph, etc. would be preferred.
  • Exceptional communication and collaboration skills to understand business partner needs and
  • deliver solutions.
  • Bias for action, with the ability to deliver outstanding results through task prioritization and time
  • management.

This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

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21d

Lead Data Scientist

MLsqlDesignc++python

hims & hers is hiring a Remote Lead Data Scientist

Hims & Hers Health, Inc. (better known as Hims & Hers) is the leading health and wellness platform, on a mission to help the world feel great through the power of better health. We are revolutionizing telehealth for providers and their patients alike. Making personalized solutions accessible is of paramount importance to Hims & Hers and we are focused on continued innovation in this space. Hims & Hers offers nonprescription products and access to highly personalized prescription solutions for a variety of conditions related to mental health, sexual health, hair care, skincare, heart health, and more.

Hims & Hers is a public company, traded on the NYSE under the ticker symbol “HIMS”. To learn more about the brand and offerings, you can visit hims.com and forhers.com, or visit our investor site. For information on the company’s outstanding benefits, culture, and its talent-first flexible/remote work approach, see below and visit www.hims.com/careers-professionals.

​​About the Role:

As a Lead Data Scientist at Hims & Hers, you will be responsible for identifying opportunities to apply data science and machine learning techniques to improve our marketing, products and processes. You will partner cross-functionally with Analytics, Product, Marketing and Operations to run deep-dive analysis, and build data products. You will partner with analysts, machine learning engineers, and others to build and implement data products that help advance our mission to eliminate stigmas and break down barriers to healthcare access.

You’ll be a leader who has a passion for driving business impact through data science, has strong communication skills, and enjoys doing hands-on work with a deep and broad technical toolset. If you are excited about being part shaping the growing data science organization at Hims & Hers and using data science to disrupt the healthcare industry through innovative solutions– this is the role for you!

You Will:

  • Provide technical guidance and thought leadership on data science methodologies, tools, and best practices
  • Identify opportunities to apply data science and machine learning solutions across marketing and product, and operations
  • Create data science roadmaps that accelerate Hims and Hers business goals
  • Drive projects in areas like marketing optimization, customer segmentation, lifetime value and retention prediction, importance modeling of early customer interactions, and revenue forecasting
  • Partner with engineers and business stakeholders to design, develop and deploy ML products end-to-end to drive business outcomes

Experience & Skills: 

  • 6+ years working in data science with a record of building ML models that have measurable impact on the business
  • The ability to deliver business impact in the context of ambiguity and evolving priorities
  • Ability to develop technical roadmaps for solving complex business problems
  • Excellent communication skills and ability work effectively with both technical and non-technical partners
  • Experience developing and putting models into production, while also owning and maintaining production models long term
  • Ability to manipulate large datasets with high dimensionality and complexity; proficiency in SQL and Python 
  • Proficiency with ML tools such as pandas, sklearn, PyTorch, or TensorFlow
  • MS or PhD degree in Data Science, Statistics, Computer Science, Applied Mathematics, Operations Research, or related fields

Our Benefits (there are more but here are some highlights):

  • Competitive salary & equity compensation for full-time roles
  • Unlimited PTO, company holidays, and quarterly mental health days
  • Comprehensive health benefits including medical, dental & vision, and parental leave
  • Employee Stock Purchase Program (ESPP)
  • Employee discounts on hims & hers & Apostrophe online products
  • 401k benefits with employer matching contribution
  • Offsite team retreats

#LI-Remote

Outlined below is a reasonable estimate of H&H’s compensation range for this role for US-based candidates. If you're based outside of the US, your recruiter will be able to provide you with an estimated salary range for your location.

The actual amount will take into account a range of factors that are considered in making compensation decisions including but not limited to skill sets, experience and training, licensure and certifications, and location. H&H also offers a comprehensive Total Rewards package that may include an equity grant.

Consult with your Recruiter during any potential screening to determine a more targeted range based on location and job-related factors.

An estimate of the current salary range for US-based employees is
$160,000$185,000 USD

We are focused on building a diverse and inclusive workforce. If you’re excited about this role, but do not meet 100% of the qualifications listed above, we encourage you to apply.

Hims is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics or any other basis forbidden under federal, state, or local law. Hims considers all qualified applicants in accordance with the San Francisco Fair Chance Ordinance.

Hims & hers is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at accommodations@forhims.com. Please do not send resumes to this email address.

For our California-based applicants – Please see our California Employment Candidate Privacy Policy to learn more about how we collect, use, retain, and disclose Personal Information. 

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29d

Senior Data Scientist

Tiger AnalyticsBarcelona,Catalonia,Spain, Remote

Tiger Analytics is hiring a Remote Senior Data Scientist

Tiger Analytics is looking for an experienced Senior Data Scientist to join our team. As a leading advanced analytics consulting firm, we help Fortune 500 companies generate valuable insights from their data. With our deep expertise in Data Science, Machine Learning, and AI, we deliver innovative solutions to complex business problems. As a Senior Data Scientist at Tiger Analytics, you will have the opportunity to work on cutting-edge projects, collaborate with cross-functional teams, and drive business value through advanced analytics.

Key Responsibilities:

  • Work on the latest applications of data science to solve business problems.
  • Effectively communicate the analytics approach and how it will meet and address objectives to business partners.
  • Lead analytic approaches; integrate solutions collaboratively into applications and tools with data engineers, business leads, analysts, and developers.
  • Create repeatable, interpretable, dynamic, and scalable models seamlessly incorporated into analytic data products.
  • Collaborate, coach, and learn with a growing team of experienced Data Scientists.
  • Stay connected with external sources of ideas through conferences and community engagements.
  • Support demands from regulators, investor relations, etc., to develop innovative solutions to meet objectives utilizing cutting-edge techniques and tools.
  • Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field.
  • Minimum of 5 years of experience in Data Science and Machine Learning.
  • Solid understanding of machine learning algorithms and statistical analysis.
  • 2-3 years of Model building and Enterprise-level deployement experience.
  • Proficiency in Python and PySpark programming languages commonly used in Data Science.
  • Experience with cloud platforms such as Azure and AWS is a plus.
  • Ability to preprocess and clean large datasets for analysis.
  • Strong problem-solving skills and ability to think analytically.
  • Excellent communication and presentation skills.
  • Ability to work effectively in cross-functional teams and manage multiple projects simultaneously.

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30d

Data Scientist II

UrbintBengaluru, India (Hybrid)

Urbint is hiring a Remote Data Scientist II

Job Application for Data Scientist II at Urbint

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30d

Lead Data Scientist

UrbintBengaluru, India (Hybrid)
Bachelor's degree5 years of experiencepython

Urbint is hiring a Remote Lead Data Scientist

Job Application for Lead Data Scientist at Urbint

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30d

Senior Data Scientist - Product Analytics

HandshakeSan Francisco, CA (Hybrid)
airflowsqlDesignc++python

Handshake is hiring a Remote Senior Data Scientist - Product Analytics

Everyone is welcome at Handshake. We know diverse teams build better products and we are committed to creating an inclusive culture built on a foundation of respect for all individuals. We strongly encourage candidates from non-traditional backgrounds, historically marginalized or underrepresented groups to apply.

Your impact

Handshake is actively seeking an Senior Data Scientist - Product Analytics specializing in Product, Growth, and/or Revenue analytics to support our Research and Development team, spearheading the measurement and analysis of product success. This pivotal role will play a crucial part in shaping Handshake’s overarching strategy and product roadmap. This position requires a strong blend of technical expertise, strategic thinking, and communication skills to guide our products' evolution and deliver maximum value to our three-sided marketplace, consisting of students, employers, and universities. This role reports to the Analytics Manager, embedded within the broader Data team, and you will work alongside a talented team of data scientists and analytics engineers. 

Your role

  • Work side-by-side and partner strategically with a Research and Development Leadership, becoming a subject-matter expert in a given domain

  • Contribute to a data-driven product strategy and own the corresponding analytics prioritization and roadmapping to execute on and measure the effectiveness of this strategy

  • Own domain goal-setting, tracking, and reporting on progress and impact

  • Lead experimentation within a given vertical, working to ensure that tracking is instrumented proactively and scaling our ability to efficiently and reliably run experiments

  • Collaborate with Analytics Engineering and Relevance teams to define metrics and build out foundational data models

  • Contribute to the vision and strategy for product analytics and the wider data organization at Handshake

  • Lead by example to build a culture of accountability and rigor to substantiate proven business impact

  • Advocate for the millions of students and employer users on Handshake by communicating data insights and recommendations to marketing, product and leadership teams

Your experience

  • Proven experience in using data to drive product development and decision-making and direct experience working with engineers and wider product teams

  • Strong communication and presentation skills, including the ability to translate data-related concepts and results for leadership and less technical stakeholders

  • Experience conducting exploratory analysis projects related to cohorting, time series analysis, and funnel analysis/optimization. Beyond just reporting metrics, we value the ability to dig in an explain the “why” behind trends

  • A clear understanding and demonstrable experience in experimentation design and process development, including comfort with A/B testing

  • Expertise in SQL is essential. Expertise with Jupyter-style notebooks and Python statistics packages is a huge plus.

  • Experience creating dashboards and visualizations in tools such as Hex, Looker, Mode, etc.

  • Ability to start, own, and drive projects to completion with minimal guidance

Bonus areas of expertise

  • Data modeling (we use dbt!)

  • Some familiarity with LookML

Our Analytics Stack 

  • Fivetran, Segment, Bigquery, dbt, Airflow, Looker, Hex

Compensation range

  • $180,000-$200,000

For cash compensation, we set standard ranges for all U.S.-based roles based on function, level, and geographic location, benchmarked against similar stage growth companies. In order to be compliant with local legislation, as well as to provide greater transparency to candidates, we share salary ranges on all job postings regardless of desired hiring location. Final offer amounts are determined by multiple factors, including geographic location as well as candidate experience and expertise, and may vary from the amounts listed above.

About us

Handshake is the #1 place to launch a career with no connections, experience, or luck required. The platform connects up-and-coming talent with 750,000+ employers - from Fortune 500 companies like Google, Nike, and Target to thousands of public school districts, healthcare systems, and nonprofits. In 2022 we announced our $200M Series F funding round. This Series F fundraise and valuation of $3.5B will fuel Handshake’s next phase of growth and propel our mission to help more people start, restart, and jumpstart their careers.

When it comes to our workforce strategy, we’ve thought deeply about how work-life should look here at Handshake. With our Hub-Based Remote Working strategy, employees can enjoy the flexibility of remote work, whilst ensuring collaboration and team experiences in a shared space remains possible. Handshake is headquartered in San Francisco with offices in Denver, New York, London, and Berlin and teammates working globally. 

Check out our careers site to find a hub near you!

What we offer

At Handshake, we'll give you the tools to feel healthy, happy and secure.

Benefits below apply to employees in full-time positions.

  • ???? Equity and ownership in a fast-growing company.
  • ???? 16 Weeks of paid parental leave for birth giving parents & 10 weeks of paid parental leave for non-birth giving parents.
  • ???? Comprehensive medical, dental, and vision policies including LGTBQ+ Coverage. We also provide resources for Mental Health Assistance, Employee Assistance Programs and counseling support.
  • ???? Handshake offers $500/£360 home office stipend for you to spend during your first 3 months to create a productive and comfortable workspace at home.
  • ???? Generous learning & development opportunities and an annual $2,000/£1,500/€1,850 stipend for you to grow your skills and career.
  • ???? Financial coaching through Origin to help you through your financial journey.
  • ???? Monthly internet stipend and a brand new MacBook to allow you to do your best work.
  • ???? Monthly commuter stipend for you to expense your travel to the office (for office-based employees).
  • ???? Free lunch provided twice a week across all offices.
  • ???? Referral bonus to reward you when you bring great talent to Handshake.

(US-specific benefits, in addition to the first section)

  • ???? 401k Match: Handshake offers a dollar-for-dollar match on 1% of deferred salary, up to a maximum of $1,200 per year.
  • ???? All full-time US-based Handshakers are eligible for our flexible time off policy to get out and see the world. In addition, we offer 8 standardized holidays, and 2 additional days of flexible holiday time off. Lastly, we have a Winter #ShakeBreak, a one-week period of Collective Time Off.
  • ???? Lactation support: Handshake partners with Milk Stork to provide a comprehensive 100% employer-sponsored lactation support to traveling parents and guardians.

(UK-specific benefits, in addition to the first section) 

  • ???? Pension Scheme: Handshake will provide you with a workplace pension, where you will make contributions based on 5% of your salary. Handshake will pay the equivalent of 3% towards your pension plan, subject to qualifying earnings limits.
  • ???? Up to 25 days of vacation to encourage people to reset, recharge, and refresh, in addition to 8 bank holidays throughout the year.
  • ???? Regular offsites each year to bring the team together + opportunity to travel to our HQ in San Francisco.
  • ????️ Discounts across various high street retailers, cinemas and other social activities exclusively for Handshake UK employees.

(Germany-specific benefits, in addition to the first section)

  • ???? 25 days of annual leave + 5 days of a winter #ShakeBreak, a one-week period of Collective Time Off across the company.
  • ???? Regular offsites each year to bring the team together + opportunity to travel to our HQ in San Francisco once a year.
  • ???? Urban sports club membership offering access to a diverse network of fitness and wellness facilities.
  • ????️ Discounts across various high street retailers, cinemas and other social activities exclusively for Handshake Germany employees.

For roles based in Romania: Please ask your recruiter about region specific benefits.

Looking for more? Explore our mission, values and comprehensive US benefits at joinhandshake.com/careers.

Handshake is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or reasonable accommodation, please reach out to us at people-hr@joinhandshake.com.

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30d

Sr. Data Scientist

agileBachelor's degree10 years of experiencesqlazurec++python

Blueprint Technologies is hiring a Remote Sr. Data Scientist

Who is Blueprint? 

We are a technology solutions firm headquartered in Bellevue, Washington, with a strong presence across the United States. Unified by a shared passion for solving complicated problems, our people are our greatest asset. We use technology as a tool to bridge the gap between strategy and execution, powered by the knowledge, skills, and the expertise of our teams, who all have unique perspectives and years of experience across multiple industries. We’re bold, smart, agile, and fun. 

What does Blueprint do? 

Blueprint helps organizations unlock value from existing assets by leveraging cutting-edge technology to create additional revenue streams and new lines of business. We connect strategy, business solutions, products, and services to transform and grow companies. 

Why Blueprint? 

At Blueprint, we believe in the power of possibility and are passionate about bringing it to life. Whether you join our bustling product division, our multifaceted services team or you want to grow your career in human resources, your ability to make an impact is amplified when you join one of our teams. You’ll focus on solving unique business problems while gaining hands-on experience with the world’s best technology. We believe in unique perspectives and build teams of people with diverse skillsets and backgrounds. At Blueprint, you’ll have the opportunity to work with multiple clients and teams, such as data science and product development, all while learning, growing, and developing new solutions. We guarantee you won’t find a better place to work and thrive than at Blueprint. 

 

We are seeking a Sr. Data Scientistto join us as we build cutting-edge technology solutions!  This is your opportunity to be part of a team committed to delivering best-in-class service to our customers.  

 

In this role you will be responsible for leading the development and implementation of advanced scoring and indexing models to evaluate and predict various business outcomes. You will collaborate closely with cross-functional teams to integrate data science solutions into operational processes and inform strategic decision-making. The ideal candidate will have expertise in statistical modeling, machine learning algorithms, and data analysis techniques. 

Responsibilities: 

  • Lead the development and implementation of advanced scoring and indexing models to evaluate and predict various business outcomes. 
  • Collaborate with cross-functional teams to understand business needs, identify opportunities for model application, and integrate data science solutions into operational processes. 
  • Conduct in-depth data analysis, including data mining, statistical analysis, and predictive modeling, to derive insights and inform model development. 
  • Ensure the integrity and accuracy of scoring models by implementing rigorous validation and testing protocols. 
  • Communicate complex model methodologies and insights to both technical and non-technical stakeholders, providing actionable recommendations based on model outputs. 
  • Stay current with the latest developments in data science, particularly in the area of scoring and indexing models, and evaluate emerging technologies for potential application within the organization. 

Qualifications: 

  • Bachelor's degree in a technical field such as computer science, computer engineering, or related field. 
  • 8-10 years of experience in business analytics, with a focus on subscriptions. 
  • 8+ years of experience with SQL, with bonus points for familiarity with SparkSQL, Databricks, or Azure Data Explorer. 
  • Proficiency in a statistical programming language such as Python or PySpark. 
  • Able to work in a collaborative, diverse, and fast-paced team environment. 
  • Excellent analytical, problem-solving, verbal, visual, and written communication skills. 

Salary Range 

Pay ranges vary based on multiple factors including, without limitation, skill sets, education, responsibilities, experience, and geographical market. The pay range for this position reflects geographic based ranges for Washington state: $130,000 to $145,000 USD/annually. The salary/wage and job title for this opening will be based on the selected candidate’s qualifications and experience and may be outside this range. 

Equal Opportunity Employer 

Blueprint Technologies, LLC is an equal employment opportunity employer. Qualified applicants are considered without regard to race, color, age, disability, sex, gender identity or expression, orientation, veteran/military status, religion, national origin, ancestry, marital, or familial status, genetic information, citizenship, or any other status protected by law. 

If you need assistance or a reasonable accommodation to complete the application process, please reach out to: recruiting@bpcs.com 

Blueprint believes in the importance of a healthy and happy team, which is why our comprehensive benefits package includes: 

  • Medical, dental, and vision coverage 
  • Flexible Spending Account 
  • 401k program 
  • Competitive PTO offerings 
  • Parental Leave 
  • Opportunities for professional growth and development 

Location:Remote 

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