EquipmentShare is Hiring a Senior Data Scientist 

EquipmentShare is searching for a Senior Data Scientist to join our team. This position is fully remote.

Primary Responsibilities

• Drive ongoing projects using a variety of ML, OR and statistical techniques in a full-stack data science environment
• Help to identify the highest value next opportunities for data science within a big greenfield space, work cross-functionally to plan and build, and measure your significant business impact via experimentation
• Help shape best practices within the team, along with mentoring and developing junior data scientists

Why We’re a Better Place to Work

• Competitive compensation packages 
• 401 (k) and company match
• Health insurance and medical coverage benefits
• Unlimited paid time off
• Generous paid parental leave
• Volunteering and local charity initiatives that help you nurture and grow the communities you call home
• Stocked breakroom and full kitchen (corporate HQ)
• State of the art onsite gym (corporate HQ)/Gym stipend for remote employees
• Opportunities for career and professional development with conferences, events, seminars, continued education

About You 

Our mission to change an entire industry is not easily achieved, so we only hire people who are inspired by the goal and up for the challenge. In turn, our employees have every opportunity to grow with us, achieve personal and professional success and enjoy making a tangible difference in an industry that’s long been resistant to change. 

Skills & Qualifications 

Minimum Qualifications: 

• Graduate degree, or equivalent practical experience, in statistics, computer science, machine learning, operations research or related field
• 5+ years working on technology-powered products as either a data scientist, ML engineer, research scientist or a closely related role
• Demonstrated understanding of the techniques and methods of modern product development
• Strong cross-functional communication skills
• Must be qualified to work in the United States or the United Kingdom - we are not sponsoring any candidates at this time

EquipmentShare is committed to a diverse and inclusive workplace. EquipmentShare is an equal opportunity
employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation,
protected veteran status, disability, age, or other legally protected status.

#LI-Remote

About Invoca

Commitment to our customers, collaboration, and continuous improvement in a positive environment are more than words written on a wall at Invoca, it’s our way of life. We take pride in an inclusive and egoless culture that helps us drive innovation and build value for both our customers and our people. And of course, there’s the competitive pay, great perks, and getting to work on an industry-leading product. If this sounds unlike most tech jobs you’ve had, you’re right. Come join us. We’re building something special.

About the Engineering Team

You’ll join a team where everyone, including you, is striving to constantly improve their knowledge of software development tools, practices, and processes. We are an incredibly supportive team. We swarm when problems arise and give excellent feedback to help each other grow. Working on our close-knit, multi-functional teams is a chance to share and grow your knowledge of different domains from databases to front ends to telephony and everything in between.

We are passionate about many things: continuous improvement, working at a brisk but sustainable pace, writing resilient code, maintaining production reliability, paying down technical debt, hiring fantastic teammates; and we love to share these passions with each other.

Learn more about the Invoca development team on our blog and check out our open source projects.

About the Role

Are you looking to work with smart people who are as committed to building great teams as they are to building great products? Invoca offers a unique opportunity to make significant contributions to machine learning and data science, particularly in conversation intelligence, marketing, sales, contact centers, and user experience optimization.

You are excited about this opportunity because you get to:

• Research and build groundbreaking machine learning techniques by leveraging Bayesian methodologies, neural networks, regression models, and other state-of-the-art approaches.
• Lead the adaptation and implementation of advanced machine learning techniques to solve customer problems.
• Be at the forefront of applying generative AI techniques to conversational data.
• Conduct independent research into the latest academic papers to develop innovative solutions for customer problems and to support various use cases within our product offerings.
• Refine and advance the mathematical models and algorithms that power our core Bayesian engine.
• Write and optimize code using our data science libraries and frameworks.
• Provide mentorship and guidance to members of our data platform team, including data scientists, data engineers, software engineers, and product managers
• Document and educate team members on analysis methodologies, models, assumptions, error measurements, data sources, transformations, and tools/processes used in the Invoca Data Science process.
• Support diversity, equity, and inclusion initiatives at Invoca.

At Invoca, a Staff Data Scientist is an experienced individual contributor with a focus on solving technical machine learning challenges and mentoring other team members. Our dedicated data platform team leverages a blend of cutting-edge technology, including our proprietary and patented solutions and tools from leading vendors, to develop an exceptionally scalable data modeling platform.

Our overarching objective is to seamlessly deliver models through our robust API platform, catering to both internal stakeholders and external clients. Your pivotal role will focus on optimizing model quality and performance. Ultimately, the models we deliver are consumed directly by our feature engineering teams to deliver new data insights, translating to enhanced value for our customers.

About You

We are excited about you because you have:

• 7+ years of professional experience or graduate-level coursework in data science, machine learning, statistics, physics, or a related field.
• Advanced proficiency in applying machine learning techniques to real-world problems.
• Advanced proficiency in Python, including expertise in data processing libraries (e.g., spaCy, Pandas), data visualization libraries (e.g., Matplotlib, Plotly), and familiarity with machine learning frameworks.
• Intermediate proficiency with big data technologies and frameworks (e.g., Spark, Hadoop).
• Intermediate proficiency working with the Databricks platform (e.g., Job/Compute, Delta Lake) or a similar platform for data analysis and model training tasks.
• Intermediate proficiency in Bayesian statistics and its application to machine learning.
• Basic proficiency with cloud platforms such as AWS, Google Cloud, or Azure.
• An advanced degree in mathematics, statistics, physics, computer science, or equivalent professional experience.
• Intermediate proficiency in C and C++ is a bonus  but not required.

Salary, Benefits & Perks:

Teammates begin receiving benefits on the first day of the month following or coinciding with one month of employment. Offerings include:

• Paid Time Off -Invoca encourages a work-life balance for our employees. We have an outstanding PTO policy starting at 20 days off for all full-time employees. We also offer 16 paid holidays, 10 days of Compassionate Leave, days of volunteer time, and more.
• Healthcare -Invoca offers a healthcare program that includes medical, dental, and vision coverage. There are multiple plan options to choose from. You can make the best choice for yourself, your partner, and your family.
• Retirement - Invoca offers a 401(k) plan through Fidelity with a company match of up to 4%.
• Stock options - All employees are invited to ownership in Invoca through stock options.
• Employee Assistance Program -Invoca offers well-being support on issues ranging from personal matters to everyday-life topics through the WorkLifeMatters program.
• Paid Family Leave -Invoca offers up to 6 weeks of 100% paid leave for baby bonding, adoption, and caring for family members.
• Paid Medical Leave - Invoca offers up to 12 weeks of 100% paid leave for childbirth and medical needs.
• Sabbatical -We thank our long-term team members with an additional week of PTO and a bonus after 7 years of service.
• Wellness Subsidy - Invoca provides a wellness subsidy applicable to a gym membership, fitness classes, and more.
• Position Base Range -Salary Range $160,000 - $206,000/ plus bonus potential

DEI Statement

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace.

#LI-Remote

ABOUT ROCKET MONEY ????

Rocket Money’s mission is to empower people to live their best financial lives. Rocket Money offers members a unique understanding of their finances and a suite of valuable services that save them time and money – ultimately giving them a leg up on their financial journey.

ABOUT THE TEAM ????

Data Scientists at Rocket Money further our mission by working to understand and deepen customer relationships with our many financial products. Our team builds models that identify and engage customers who would benefit from mortgage and personal loan products. We work with our product and engineering teams to understand, explain, and predict retention. Data Scientists also support growth operations by designing marketing tests, building growth efficiency estimation models, and modeling user lifetime value. We have a strong preference for team players that are comfortable collaborating across teams, know how to shape strategy with data, and can deliver solutions in conjunction with product and engineering teams.

ABOUT THE ROLE ????‍♀️

In this role, you will focus on the following types of problems:

• Optimize to continuous product feedback loops - you understand that data science is the practice of a continuous lifecycle of measurement, analysis, modeling, and hypothesis testing.
• Create customer segmentation and conversion propensity models that will help us understand the best ways to serve different types of users and convert them into affiliate products and services.
• Help develop the next version of Autopilot and Budgets. Ensure members have money in the right place at the right time for their near and long term goals. Warn them when they do not.
• Uncover and exploit relationships between customers’ subscriptions, purchase, and transaction data to better deliver personalized product experiences and power ever more accurate customer segmentation, propensity, and ad targeting models.
• Design and conduct experiments to estimate the impact of new products, customer messaging, and marketing.
• Work alongside our product and marketing teams to understand our members’ product usage, predict our customers’ lifetime value, and estimate user retention.
• In collaboration with engineering, product, and design teams, work to implement new user-facing features and experiences. Use your expertise in ML system and model design to delight our customers with new user experiences.

Regardless of the challenges you dive into, you will:

• Become a subject matter expert in your area of specialty and be responsible for leading projects from start to finish - making key decisions on both implementation and scope while balancing technical and business goals.
• Work collaboratively in cross-functional teams to deliver new products and services.
• Become an expert on our members. Understand their needs and financial goals. Work with product and engineering teams to build features that help our members build better financial lives.
• Use your expertise in ML system and model design to aid product delivery, both internal and external.
• Be a steward of good instrumentation and experimental design - designing analyses, models, and products in a way that is measurable, testable, repeatable, and robust. You will advocate for experimental approaches in everything that we do.
• Build internal tooling that improves the data science and ML implementation - help accelerate the work of others.
• Maintain a high technical bar - participate in code reviews, contribute to product and technical design, maintain a high degree of quality in our production data, and mentor junior team members.

ABOUT YOU ????

• You are a team player - collaboration and communication are a first instinct and key tool for getting stuff done. You continually seek feedback on your work.
• You know how to work at a strategic level - you can collaborate with stakeholders to define new projects and initiatives for yourself and others.
• Excellent writing, presentation, and communication skills. Documenting, recruiting for feedback, and securing alignment among stakeholders is second nature.
• You have 6+ years of professional experience working in a data science capacity. You know your way around databases, data warehouses, and at least one programming language. You are equally adept at hacking together proof of concepts and working with engineering teams to build scalable, durable systems.
• You embrace the player/coach mindset. You take care to mentor and develop others when leading projects. You’ve helped junior data scientists grow in their careers.
• You care just as much about why you're solving a problem as the solution. You always want a deep understanding of context and business impact. You are a data scientist first but an expert business analyst when necessary.
• Deep experience in one or more of the following in a professional capacity: customer modeling/segmentation, time series modeling, natural language processing and classification, design of experiments, machine learning applied to consumer products, building generative AI applications in consumer software.
• You find yourself building tools to help others solve their problems and follow a philosophy of continuous improvement and automation.
• You want to continue to grow and learn. You are excited by hard problems and big challenges.
• Experience in fintech, banking, or finance is a plus.

WE OFFER ????

• Health, Dental & Vision Plans
• Competitive Pay
• 401k Matching
• Unlimited PTO
• Lunch daily (in-office only)
• Snacks & Coffee (in-office only)
• Commuter benefits (in-office only)

Additional information: Salary range of $160,000 - $200,000/year + bonus + benefits. Base pay offered may vary depending on job-related knowledge, skills, and experience.

Rocket Money, Inc. is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 

Clover is reinventing healthcare by working to keep people healthier.

Clover's Data Science team is charged with leveraging our data—our most important asset—to generate value for our members. From understanding how the member experience impacts clinical outcomes to making our home visits more efficient and effective, our team pushes out insights central to executing on our core mission. And our impact is tremendous: you'll be able to point to one of our members and say, “I helped make that person's life better.”

We’re looking for a Senior Data Scientist to help us build a revolutionary new healthcare company.

As a Senior Data Scientist, you will:

• Lead large-scale projects from ideation through delivering enterprise value.
• Have a broad problem-solving toolkit and know how to apply it. When problems call for out-of-the-box solutions, you will apply them effectively. When problems call for boutique solutions, you can evaluate the trade-offs and choose a solution that maximizes velocity.
• Implement broad solutions that are bug-free and well-tested. Where possible, your work reduces complexity rather than adding it.
• Understand the problems faced by the business and deliver results that meaningfully solve some of these problems.
• Proactively engage with stakeholders across all levels of Clover to understand needs.
• Uncover and mitigate risks and assumptions that may prove to be intractable later.
• Serve as a trusted advisor and thought partner and ensure that projects are delivered on time and to spec. Within the team, serve as a mentor and collaborator, improving peers’ ability to deliver.

You will love this job if:

• You want to create impactwith your work by finding insights in the data that unlock value and improve outcomes.
• You have a strong understanding of how to structure analyses and experiments to yield interpretable, actionable results.
• You reason holistically. From project scope to priority to implementation, you'll have an impact on how decisions get made.
• You are comfortable acting autonomously in ambiguous and dynamic environments.
• You are fearless in the face of messy data, and adept at programmatically structuring and cleaning records collected from the real world.
• You strive to automate as much as possible, yet understand the value of explicitly incorporating human decisionsinto the systems you build.
• You have just as much interest in helping other people move faster as you do building your own analyses.

You should get in touch if:

• Have an advanced degree in a quantitative field, especially dealing with complex data-driven results, or equivalent experience, with a minimum of a Master's degree plus 3+ years of relevant work experience or Ph.D. with 2+ years of relevant experience.
• Have a strong foundation in probability and statistics, and demonstrated facility with machine learning tools, including SQL and python, as well as statistical and machine learning packages.
• Have demonstrated success using data science to deliver clear enterprise value in a business function.
• Are comfortable leading and have successfully led a large-scale project from opportunity identification to business value.
• Are able to improve the work of those around you via direct mentorship, code review, informal conversations, and leadership by example.
• Can clearly articulate how your work accrues to business value and can contextualize that value with respect to top-level business objectives.

Benefits Overview: 

• Financial Well-Being: Our commitment to attracting and retaining top talent begins with a competitive base salary and equity opportunities. Additionally, we offer a performance-based bonus program and regular compensation reviews to recognize and reward exceptional contributions.
• Physical Well-Being:We prioritize the health and well-being of our employees and their families by offering comprehensive group medical coverage that include coverage for hospitalization, outpatient care, optical services, and dental benefits.
• Mental Well-Being: We understand the importance of mental health in fostering productivity and maintaining work-life balance. To support this, we offer initiatives such as No-Meeting Fridays, company holidays, access to mental health resources, and a generous annual leave policy. Additionally, we embrace a remote-first culture that supports collaboration and flexibility, allowing our team members to thrive from any location. 
• Professional Development: We are committed to developing our talent professionally. We offer learning programs, mentorship, professional development funding, and regular performance feedback and reviews.

Additional Perks:

• Reimbursement for office setup expenses
• Flexibility to work from home, enabling collaboration with global teams
• Paid parental leave for all new parents
• And much more!

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.

About Clover: We are reinventing health insurance by combining the power of data with human empathy to keep our members healthier. We believe the healthcare system is broken, so we've created custom software and analytics to empower our clinical staff to intervene and provide personalized care to the people who need it most.

We always put our members first, and our success as a team is measured by the quality of life of the people we serve. Those who work at Clover are passionate and mission-driven individuals with diverse areas of expertise, working together to solve the most complicated problem in the world: healthcare.

From Clover’s inception, Diversity & Inclusion have always been key to our success. We are an Equal Opportunity Employer and our employees are people with different strengths, experiences and backgrounds, who share a passion for improving people's lives. Diversity not only includes race and gender identity, but also age, disability status, veteran status, sexual orientation, religion and many other parts of one’s identity. All of our employee’s points of view are key to our success, and inclusion is everyone's responsibility.

#LI-REMOTE

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

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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

​​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 & 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
• Empower the Data Science team through mentorship and collaborative efforts, actively pursuing opportunities to foster cross-team knowledge expansion and mentorship initiative

You Have:

• 10+ years working in Engineering and/or Data Science with a record of building ML models that have a measurable impact on the business
• The ability to deliver business impact in the context of ambiguity and evolving priorities to technical and non-technical stakeholders 
• Ability to develop technical roadmaps for solving complex business problems
• Excellent communication skills and ability to 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 field

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

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