Pay
In line with similar jobs
$135K–$145K against $118K–$193K, the middle half of what similar US postings state.
From 3,721 postings in the last year. Stated ranges, not salaries paid.
New York, NY | Austin, TX | King of Prussia, PA | Scottsdale, AZ
Actively hiring, first seen by us todayThis role will be based in either the New York, Austin, King of Prussia, or Scottsdale office, and will be part of Vestwell's hybrid in-office operation. The expected base salary range for this position is $135K - $145K base. This position is eligible to participate in the Company Bonus Pool and is eligible to receive new hire equity in the Company. Please note that salary bands are based on NY and other similar metro areas and may differ based on where the role is ultimately hired. Full-Time Employee Benefits We’re an innovative, high-growth company with an exciting future ahead. At Vestwell, we prioritize employee wellbeing through comprehensive health benefits, generous time off, and a dedicated Employee Wellbeing Committee. Our hybrid work model offers flexibility while providing access to our collaborative offices in Midtown Manhattan, Austin, King of Prussia, and Scottsdale. And, of course, as a company focused on helping people save for the future, we offer a competitive 401(k) plan.Read the full posting
Translate stakeholder needs into buildable features with clear benefits
Break product requirements into tasks with acceptance criteria for developers
Run functional testing and give initial product sign-off before user verification
Build processes and tools to track usage trends for future planning
Develop research models and predictive analysis tooling with the data engineering team
translate inputs into buildable features with clear benefits
Partner with developers to break down product requirements into discrete tasks with clear functional requirements/acceptance criteria
Complete functional testing and provide initial product sign-off when features are ready for end-user verification
Develop processes and tools for tracking usage trends and allow data to inform future development plans
working with our Technical Director and his data engineering team to develop new research models and predictive analysis tooling
Graduate degree in data science or heavily-weighted category
2-3+ years of Product Management experience
Ability to define and write algorithms
Ability to write/design python and/or R statistical programming
Exceptional business and systems analysis skills
Data warehousing experience (Snowflake or Databricks)
Actuarial experience
Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
In line with similar jobs
$135K–$145K against $118K–$193K, the middle half of what similar US postings state.
From 3,721 postings in the last year. Stated ranges, not salaries paid.
Day 0
Early. Similar jobs usually come down between day 7 and day 56.
From 10,222 similar postings that came down. Coming down is not always a hire.
2 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordAdd your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Must have the ability to interface with internal stakeholders - Ability to write/design python and/or R statistical programming The Extras
The Extras - Data warehousing experience (Snowflake or Databricks) - Actuarial experience
Complete your application on job-boards.greenhouse.io. The employer’s form will show what is required.
Already applied? Track this application
New Data Scientist postings at the employers we follow are down 3% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Vestwell is the financial technology company powering the new savings economy. The New York City-based fintech platform redefines how people save for the critical aspects of life across retirement, education, and healthcare savings needs. Today, Vestwell enables over 790,000 businesses and more than 2.75 million active savers, with over $57 billion in assets saved across all 50 United States.
Vestwell offers a range of products, including workplace-delivered retirement plans, employer-offered student loan repayment benefits, and various savings accounts for education, emergencies, and individuals with disabilities.
Vestwell's platform serves a diverse clientele, including financial advisers, employers, third-party administrators, financial institutions, payroll providers, government agencies, and individual savers. To learn more, visit vestwell.com
Who Are We Looking For?
Vestwell is expanding and we’re keen to add an amazing Data Science role to our team. Someone who’s passionate about maths and algorithms to extract deep insights from large data sets, who will work primarily with our Cortex/AI solution, implementing ML and predictive analysis to help Vestwell see further into both the past and the future. We’re looking for someone who loves to solve problems and is driven to build great solutions. You will work across all our product lines - translating end-user needs into focused, actionable steps, that result in timely data products. You will help refine and execute our product vision, improving the requirement-intake process, and implementing new processes on a quarterly basis. Vestwell is a continuously evolving data engine at its heart.
If you are someone who dives into whatever challenge is placed in front of you, you will find yourself involved in the planning and coordinating our overall AI-BI solutions, working with our Technical Director and his data engineering team to develop new research models and predictive analysis tooling.
What Will You Be Doing?
Requirements
The Necessities
The Extras
This role will be based in either the New York, Austin, King of Prussia, or Scottsdale office, and will be part of Vestwell's hybrid in-office operation.
The expected base salary range for this position is $135K - $145K base. This position is eligible to participate in the Company Bonus Pool and is eligible to receive new hire equity in the Company. Please note that salary bands are based on NY and other similar metro areas and may differ based on where the role is ultimately hired.
Full-Time Employee Benefits
We’re an innovative, high-growth company with an exciting future ahead. At Vestwell, we prioritize employee wellbeing through comprehensive health benefits, generous time off, and a dedicated Employee Wellbeing Committee. Our hybrid work model offers flexibility while providing access to our collaborative offices in Midtown Manhattan, Austin, King of Prussia, and Scottsdale. And, of course, as a company focused on helping people save for the future, we offer a competitive 401(k) plan.
Interview Process
Our interview process starts the same for every candidate with 1-2 introductory conversations to learn more about your background, interests, and what you're looking for, while also giving you the opportunity to learn more about Vestwell and the team. From there, the process varies by role but typically includes a skills or experience-based assessment, such as a coding interview, portfolio review, or deeper discussion of your relevant experience. Successful candidates then move on to a virtual or in-person interview panel. Before extending an offer, we complete a reference check with a current or former manager and a peer. Throughout the process, we prioritize transparency, clear communication, and minimizing surprises.
For your awareness you will only receive correspondence from recruiting@vestwell.com any other domain not ending in vestwell.com is not our Recruitment team.
Vestwell’s Privacy Policy. Attention California residents: In the course of conducting our business and complying with federal, state, and local government regulations governing such matters as employment, tax, insurance, etc., we must collect Personal Information from you. Should you accept employment with Vestwell you may view our California Privacy Rights Act here: Vestwell’s California Privacy Rights Policy.
Selected passages from the saved posting. Check the full description for conditions and exceptions.
This role will be based in either the New York, Austin, King of Prussia, or Scottsdale office, and will be part of Vestwell's hybrid in-office operation. The expected base salary range for this position is $135K - $145K base. This position is eligible to participate in the Company Bonus Pool and is eligible to receive new hire equity in the Company. Please note that salary bands are based on NY and other similar metro areas and may differ based on where the role is ultimately hired. Full-Time Employee Benefits We’re an innovative, high-growth company with an exciting future ahead. At Vestwell, we prioritize employee wellbeing through comprehensive health benefits, generous time off, and a dedicated Employee Wellbeing Committee. Our hybrid work model offers flexibility while providing access to our collaborative offices in Midtown Manhattan, Austin, King of Prussia, and Scottsdale. And, of course, as a company focused on helping people save for the future, we offer a competitive 401(k) plan.
New York, NY | Austin, TX | King of Prussia, PA | Scottsdale, AZ
This passage needs a closer read in the full description.
No clear work-authorization passage found. Eligibility is unconfirmed.