Senior Data Scientist

$130,000-$170,000 Base Salary,Position eligible for additional incentives including bonus, 401k match, health and welfare benefits.

Remote Northeast U.S., preference for candidates based in NY or D.C.

National Funding (NF) is creating a new, state-of-the-art digital lending company, smallbusinessloans.com (SBL). SBL will launch fully digital lending offering targeted to SMBs seeking an automated loan experience. The company will differentiate itself from competitors via superior technology, risk management, data science, a fully digital UI, and a customer-first experience that emphasizes ease of use, fairness and transparency in pricing, and recognition of customer loyalty.

In order to maximize speed-to-market and efficiency, SBL intends to leverage the availability state-of-the art technology service providers and platforms. At the same time, SBL will build a robust set of modules around these platforms that will serve to differentiate SBL’s offerings in the marketplace and to its customers.

Position Summary:

The Senior Data Scientist role is a senior member of the Data Science team with broad responsibilities that span the scope of the Data Science team. The ideal candidate has extensive experience building risk models (credit and fraud) for scoring risk of personal and small business entities in a small business lending product environment. The ideal candidate will be a thought leader in helping design, develop, implement, and manage key risk models and leverage expertise in machine learning and statistics to achieve exceptional results.

The ideal candidate can identify objectives, scope requirements, and determine approaches to solution development independently. The candidate is able to apply advanced mathematical and statistical techniques (e.g. GBM, logistic regression, cluster analysis, neural networks, independence testing, etc..) to further results and develop organizational capabilities needed to fully exploit data as an asset.

Major Responsibilities:

• Manipulate structured and unstructured datasets from disparate sources
• Perform data processing, integration, cleansing, descriptive analysis, visualization, and reporting
• Develop, document, monitor, and improved machine learning models for credit assessment, fraud detection, and other relevant customer lifecycle models
• Performs advanced analytics (statistical and predictive analytics, machine learning modeling, etc.) to provide actionable insights that improve business outcomes and minimize risk
• Apply data analysis and modeling techniques to support business decisions
• Hands on role in deploying models and tracking performance metrics
• Implements projects from inception to completion, managing timelines and resources independently to deliver expected outcomes.
• Engage stakeholders to understanding business requirements (compliance, engineering, product, marketing, etc.)
• Provides consultation to business leaders and other stakeholders on how to leverage analytics insights and build strategies around analytics
• Other duties as assigned.

Knowledge, Skills and Abilities Required:

• Bachelor’s degree in computer science, engineering, mathematics, statistics, or a similar quantitative field
• 6+ years of relevant work experience
• Fluency in programming languages such as R, Python, SQL.
• Experience developing supervised and unsupervised machine learning algorithms
• Proficiency in working with SQL databases
• Strong programming practices utilizing version control systems (e.g. Git)
• Attention to detail and strong communication skills across technical and non-technical audience
• Extensive experience working with Python data science libraries
• Experience with Tableau and/or Looker

Experienced Preferred:

• 10+ years of relevant work experience
• 4+ years developing credit models for small business lending
• MS degree in a quantitative field such as mathematics, statistics, information systems, computer engineering or similar quantitative field
• Experience developing advanced models (default prediction, revenue forecasting, response prediction, etc.) in multiple functional areas (credit, fraud, marketing, etc.)
• Extensive experience developing credit models with GBM and Logistic Regression
• Experienced working withing Google Cloud AI tools
• Experience in applying statistical techniques to draw causal inferences in both experimental and non-experimental situations
• Experience leading end-to-end data science projects
• Experience mentoring other data scientists

National Funding is an Equal Opportunity Employer.

About the Data Scientist position

We are looking for a skilled Data Scientist who will help us analyze large amounts of raw information to find patterns and use them to optimize our performance. You will build data products to extract valuable business insights, analyze trends and help us make better decisions.

We expect you to be highly analytical with a knack for analysis, math and statistics, and a passion for machine-learning and research. Critical thinking and problem-solving skills are also required.

Data Scientist responsibilities are:

• Research and detect valuable data sources and automate collection processes

• Perform preprocessing of structured and unstructured data

• Review large amounts of information to discover trends and patterns

• Create predictive models and machine-learning algorithms

• Modify and combine different models through ensemble modeling

• Organize and present information using data visualization techniques

• Develop and suggest solutions and strategies to business challenges

• Work together with engineering and product development teams

Data Scientist requirements are:

• 1+ years' experience of working on Data Scientist or Data Analyst

• Significant experience in data mining, machine-learning and operations research

• Good experience using business intelligence tools (such as Tableau) and data frameworks (such as Hadoop)

• Good knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset

• Strong math and analytical skills, with business acumen

• Strong communication and presentation skills

• Good problem-solving abilities

• BSc or BA degree in Computer Science, Engineering or other relevant area; graduate degree in Data Science or other quantitative field is preferred

Reesby Pty Ltd is a premium IT recruitment company sourcing talent for global brands.

Our client is seeking a skilled Junior Data Scientist with a knack for analysis and a passion for machine-learning and research. This is a part-time role and the client has offices based in Melbourne & Sydney and they are open to candidates from either place and offer remote working flexibility. The ideal candidate should be able to develop new analytical solutions for products and services.

Benefits:

• Innovative, Start-up work environment
• Career building experience

About You:

• Have Experience in programming languages such as Python, Amazon Web Services, Data pre-processing, and Data Cleansing.
• Excellent research and implementation skills for machine learning.
• Bring a growth mindset and critical thinking to everything you do.
• Strong communication and presentation skills.
• Good problem-solving abilities.

Duties/ Responsibilities:

• Contribute to Data & AI literacy, particularly around data and quantitative methods.
• Applying modern delivery frameworks that optimise the ability to deliver value.
• Work collaboratively in multidisciplinary teams by adopting sound delivery disciplines to ensure successful execution.
• Demonstrate initiative by staying up to date with advancements and proactively apply new learning to problem-solving.
• Prioritise effective completion of business objectives and meeting company vision and strategies.

Qualifications:

• BSc or BA degree in Computer Science, Engineering or other relevant areas; graduate degree in Data Science or other quantitative field is preferred.

Kindly visit www.reesby.com.au for any recruitment requirements

Data Scientist

What you will do

Data science consulting is an integral and rapidly growing part of our firm's offerings; we are seeking a talented, self-starting data scientist to help our efforts in both business-facing data science and machine learning engineering. At Aimpoint Digital, you will augment talented data science teams, build cutting-edge models, and make impactful recommendations in a fast and dynamically changing environment.

Who we are looking for

We are looking for detail-oriented data scientists who want to make an impact on businesses by building deployable models to generate valuable insights.

• Self-starter with excellent communication skills, able to work independently with little direction
• MSc/PhD in a STEM related field
• Experience with classification and regression techniques are required
• Experience with time series analysis and optimization are preferred
• Advanced experience in Python, R, MATLAB, Spark/PySpark, SQL, and/or other related programming languages
• Comfort using advanced AI algorithms and learning networks in general
• ML ops/Automation experience is a plus (Amazon Sagemaker as an example)
• Willingness to work an engagement from end-to-end – requirements gathering, data preparation, model building, model tuning, deployment
• Willingness to be a part of a fast-growing team with a desire to learn

We are actively considering applicants that are fully remote within the US

Data is the core of everything that Engage3 provides. As an Applied Data Scientist for Engage3, you will be on the front lines driving direct value to our customers and the organization. You will be involved in all aspects of the data lifecycle, from data extraction and transformation to delivery to analysis and modeling.

You will have the opportunity to drive business impact by working with stakeholders and clients, where you will have a direct hand in shaping or creating Engage3’s retail data solutions. You will also be expected to build new processes and procedures from scratch that will solve new business or customer use-cases as they evolve.

You should be able to demonstrate the ability to manage the entire lifecycle of modeling projects, from identifying requirements to working with the data (extracting, managing, modeling, visualizing) to using this data and justifying your results. You should also have experience collaborating across organizational boundaries -- you will be just as comfortable talking with a business stakeholder about what this analysis means as you are collaborating with Dev and Data team members and diving into the database.

A successful Applied Data Scientist will:

• Develop and deploy algorithms, data-driven products, combining advanced modeling techniques and domain expertise
• Manage (extraction, transformation, validation) structured and unstructured data using state-of-the-art methods across multiple sources and rapidly-evolving architectures
• Build, maintain, deliver, and automate client-facing reports with high visibility
• Work both independently with minimal guidance as well as collaboratively with remote teams; is able to take ownership of early-phase projects. Need to be a self-starter
• Interact directly with business stakeholders to gather requirements, feedback
• Balance multiple projects on short timelines with evolving priorities
• Field critical requests from clients and business stakeholders expeditiously and with strong attention to detail
• Collaborate with team members to write clean code with thorough testing and documentation; follow best-practices and consider edge cases for rolling out Production code

​Qualifications:

• M.S. in Engineering, Math, Finance, Computer Science, Physics, or other STEM field
• OR Bachelors in Engineering, Math, Finance, Computer Science, Physics and related industry experience for 2-5 years in production/client-facing environments, with a focus on analytic products and projects
• Minimum 2 years experience writing SQL scripts and dialects for data exploration, analysis, and reporting
• Minimum 2 years experience using one or more programming languages (Python-preferred)
• Minimum 1 year experience in advanced machine-learning methodologies, supervised and unsupervised learning
• Minimum 1 year experience with Tableau or other visualization tools
• Minimum 1 year experience in Microsoft Office Suite (Excel, Word, Powerpoint)
• Experience with big data: acquisition, processing, filtering, and presenting large quantities (100K - 100M rows) of data. Preferred ability to use parallelization with tools including Snowflake, Python libraries, Apache Spark, Hadoop
• Experience gathering requirements from non-technical stakeholders and presenting technical material in a non-technical context
• Experience manipulating spreadsheets with Python or another scripting language
• Experience with statistical tools (e.g. R) and analysis, regression modeling and forecasting, time series analysis
• Experience deploying and integrating into production systems and data-driven products
• Strong communication skills and ability to work in a fast-paced environment

Privacy Notice: At eCore, we’re committed to respecting your privacy. We use Breezy HR, a web-based hiring platform, to assist our recruitment process. As part of that process, we require you to submit a personal information/identification document that will be treated with high confidentiality and shared with authorized hiring team members only. Your identification document is used for screening purposes and your personal information is used to determine whether or not you’re a good fit for current and future roles at our company. Please provide accurate information, otherwise, your application will be disqualified and you will not be able to reapply in the future.

IMPORTANT REMINDERS before you apply:

• Please read the job requirement and FAQ thoroughly.
• Please Include your Linkedin Profile in the Resume.
• Please only use a valid GMAIL email when applying.
• Only apply if you have availability for 20-40h per week (Full Time).

JOB DESCRIPTION & REQUIREMENT:

About the Company:

The eCore Organization combines virtual work, international development, and a wealth of entrepreneurial experience. We all believe in using technology, talent, and innovation to simplify costly business processes while providing jobs to hard-working individuals deserving of opportunities and those who serve as our organization's core values.

About the Worker Community:

eCore Services gives skilled individuals access to fair-wage digital work all over the globe. The majority of eCore members were underemployed or unemployed before joining. Because our worker community is structured like a traditional workforce, members have the opportunity to develop essential skills, professional development, advances in careers, work in teams, and interact with community members.

Job Overview

eCore is looking for a Data Scientist who will support our organization with insights gained from analyzing company data. The ideal candidate should be well versed in analyzing large data sets to identify opportunities for product and process optimization and using models determine the effectiveness of different courses of action. The ideal candidate must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. They must be comfortable communicating and working with a wide range of stakeholders and functional teams. They must have a proven track record of success utilizing data analysis and insight.

Responsibilities for Data Scientist

• Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
• Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
• Assess the effectiveness and accuracy of new data sources and data gathering techniques.
• Develop custom data models and algorithms to apply to data sets.
• Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
• Develop company A/B testing framework and test model quality.
• Coordinate with different functional teams to implement models and monitor outcomes.
• Develop processes and tools to monitor and analyze model performance and data accuracy.
• Analyzing, validating, and optimizing data sets contained in spreadsheets. This includes assisting in the migration to more structured data solutions.

Qualifications for Data Scientist

• Strong problem-solving skills with an emphasis on product development.
• Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.
• Experience working with and creating data architectures.
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
• Excellent written and verbal communication skills for coordinating across teams.
• A drive to learn and master new technologies and techniques.
• We’re looking for someone with 5-7 years of experience manipulating data sets and building statistical models, and is familiar with the following software/tools:
  • Coding knowledge and experience with several languages: C, C++, Java, Python, etc.
  • Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
  • Experience querying databases and using statistical computer languages: R, Python, SLQ, etc.
  • Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
  • Experience analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc.
  • Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.
  • Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc.

We're looking for a Lead - Data Science who can take complete ownership of the team & the Data Science strategy for inFeedo. You will work on inFeedo's most strategic programs along with the head of product, head of engineering and the founders. This role will enable you to drive and influence projects that directly impact our customers and millions of employees who chat with Amber. 

Our ask is a burning desire for scale, a relentless passion for building cutting-edge products, and undying love for technology.

No. of positions: 1

What will I be doing?  

1. Identify: Work closely with product and customer teams to define & prioritize problems that matter to our customers across multiple regions, cultures, and languages
2. Design: Models and metrics that lead to actionable insights, reports, and dashboards for our end users
3. Measure: Outcomes and develop success metrics to understand the impact of product changes on customer behavior, through analysis and experimentation
4. Experiment: In the space of conversational AI to refine our chatbot's experience and build trust with the end user
5. Build: A team and infrastructure to further grow our mission and company
6. Define: The next phase of inFeedo's data and AI journey

Who will I work with?

Varun Puri, Aditya, and of course the rest of the jovial inFeedo team.

Data Scientist – Machine Learning

Overview

Ascend Innovations is looking for a Data Scientist to join our growing team and join our Machine Learning focused Data Science team at Ascend. We’re a scrappy team of account/project managers, engineers, data scientists and UX-ers, and we need someone who is skilled at machine learning development and deployment. You’ll be joining a growing team of Data Scientists and Analysts at Ascend – so you’ll have an opportunity to make a significant impact on our capability and growing Data Science strategy.

As a Data Scientist, you’ll support data driven products, projects, and services that enable community health organizations to better serve the most vulnerable populations. We work with clients ranging from recovery boards to hospice organizations, to grass root community health programs focused on important initiatives such as reducing infant mortality and the impact of mental health & substance use disorder in our communities.

???? About Ascend

Ascend Innovations is a socially impactful technology company that provides data-driven products and consulting services to help organizations solve complex community health problems. We desire to empower all communities to improve health and wellness with human-centered technology. Owned by the three hospital networks in Dayton, Ascend is uniquely positioned to build solutions around mental health and addiction, chronic disease, social determinants of health, and other core focus areas related to community health. Ascend’s long-term strategy is to build data-driven technologies for communities while in parallel identifying scalable opportunities to transition products and produce spinout companies through Ascend’s startup studio, Ascend Ventures.

❤️ What We Value

Our team culture is rooted in the values of drive, perseverance, trust, accountability, and community.

• We aspire to be better
• We grow through challenge
• We are open and honest
• We have each other's back
• We are better together

☕️ Perks

• ???? Unlimited PTO
• ???? 3 months fully paid parental leave
• ???? Work Remotely

???? WhoYou Are

• You are a machine learning expert and are driven to use that ability to solve complex community problems.
• You are fueled by collaboration and excited to learn new technical skills/techniques
• You have an innate drive to apply data science to meaningful work that makes an impact in our communities.
• You have an ability to translate analytic results into intuitive insight and recommendations

• You have a bachelor’s degree in a quantitative field (Mathematics, Computer Science, Economics, Statistics), or a field related to healthcare or public health. Or you have experience with a proven record of accomplishment of analytical skills that can be substituted for degree requirements.
• You have 3+ years of experience in a data science role, with experience training and deploying machine learning models. You could have additional experience with data engineering, or software engineering, but not required.
• You are proficient in open-source programming languages (R, Python, etc.), with the use of data-related Python or R packages (NumPy, pandas, scikit-learn, Matplotlib, SciPy, TidyVerse, Dplyr, etc.)

☀️ As a Data Scientist, on a given day you will:

• Clean, restructure, and manipulate data into a useable format for analysis

• Design, prototype, and refine production ready, predictive algorithms or models
• Work with stakeholders including the Executive, Product, Data and UX teams to solve data-related technical issues and support their data science needs.
• Support requirements gathering, discovery, or strategic consulting scenarios.
• Supply project updates on a consistent basis to various stakeholders.
• Work with stakeholders to help define project scope and clarify project requirements.

is Germany's best-known AI company. We develop neural networks to help people work with language. With DeepL Translator, we have created the world's best machine translation system and made it available free of charge to everyone online. Over the next few years, we aim to make DeepL the world's leading language technology company.

Our goal is to overcome language barriers and bring cultures closer together.

What distinguishes us from other companies?

DeepL (formerly Linguee) was founded by developers and researchers. We focus on the development of new, exciting products, which is why we spend a lot of time actively researching the latest topics. We understand the challenges of developing new products and try to meet them with an agile and dynamic way of working. Our work culture is very open because we want our employees to feel comfortable. In our daily work we use modern technologies - not only to translate texts, but also to create the world's best dictionaries, and solve other language problems.

When we tell people about DeepL as an employer, reactions are overwhelmingly positive. Maybe it's because they have enjoyed our services, or maybe they just want to get on board with our quest to break down language barriers and facilitate communication.

Your Choice

We are constantly looking for outstanding employees! Currently we offer remote work in Germany, the Netherlands, the UK and Poland. Whether you would like to work from home in one of these countries or from one of our offices in Cologne or London: the choice is yours. No matter where you choose to work from, our way of working is designed to make you an essential part of the team.

What will you be doing at DeepL?

Founded in 1985, SelectQuote provides solutions that help consumers protect their most valuable assets: their families, health and property. The company pioneered the model of providing unbiased comparisons from multiple, highly rated insurance companies allowing consumers to choose the policy and terms that best meet their unique needs. Two foundational pillars underpin SelectQuote’s success: a strong force of highly trained and skilled agents, who provide consultative needs analysis for every consumer, and proprietary technology that sources and routes high-quality leads. The company has three core business lines: SelectQuote Senior, SelectQuote Life and SelectQuote Auto and Home. SelectQuote Senior, the largest and fastest-growing business, serves the needs of a demographic that sees 10,000 people turn 65 each day with a range of Medicare Advantage and Medicare Supplement plans.

Job Summary:

Responsible for the development of analytical tools and self-adjusting algorithms used for the automation of critical business functions. The position involves communicating data findings to both technology leaders and business managers to help the company overcome business challenges. The data scientist explores and analyzes information from multiple sources in order to gain maximum insight that can give the company a competitive advantage.

Essential Functions:

• Maintain existing Data Science solutions while looking for opportunities to improve them
• Lead complex projects and ensure their complete and accurate execution with emphasis on delivering business value
• Identifies opportunities to collect new data to enhance the business value
• Conducts statistical modeling and experiment design
• Discovers “stories” told by the data
• Tests and validates predictive models
• Implements automated processes for efficiently producing scale models
• Generates algorithms and creates self-adjusting computer models
• Collaborates with database engineers and other scientists
• Conducts scalable data research on and off the cloud
  
  

Knowledge, Skills and Abilities:

• 4+ Years of experience in applying statistics, machine learning, algorithms development, predictive modeling and advanced mathematics to solve complex problems
• 2+ Years of experience using R
• 3+ Years of experience using Python
• 4+ Years of SQL
• Demonstrates excellent code writing abilities
• Has strong critical thinking skills and the ability to relate them to the products or services the company is producing
• Displays understanding of and ability to use programming languages like Python and SQL
• Objectivity and openness to others views, providing solutions and creative input
• Provides and welcomes feedback
• Must be able to adjust when there is a shift in priorities
• Excellent communicator with individuals and groups at all levels
• Detail oriented, organized and able to manage user expectations
• Good organizational, time management, and listening skills
• Self-motivated

Training and Experiences

• Python
• R
• Microsoft SQL server 2008 R2 or later
• AWS Machine Learning
• Required: Bachelor’s degree in a quantitative discipline such as Statistics, Mathematics, Economics, Physics, or Computer Science
• Preferred: Master’s degree in a quantitative discipline such as Statistics, Mathematics, Economics, Physics, or Computer Science

Benefits:

It’s an exciting time to join SelectQuote. We became a publicly traded company in 2020 with the first 100% virtual IPO (non-biotech) in American history. We have also been recognized nationally on the 2021 Top Workplaces USA list and by the Kansas City Business Journal as a 2020 Best Places to Work honoree.

Full-time employees are eligible for medical, dental, vision, voluntary short-term disability, company-paid long term disability, company-paid life insurance and accidental death & dismemberment (AD&D), 401(k) + company match and 100% vesting after 4 years, discretionary profit sharing, employee stock purchase program (espp), paid time off, floating holidays, paid maternity leave, paid parental bonding leave, tuition reimbursement, jury duty pay, work from home stipend, and other paid leaves vary based on work location.