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?- Understand high-level strategic initiatives and stakeholder requirements; identify opportunities; and translate inputs into buildable features with clear benefits
- Effectively communicate and share plans and rationales
- Partner with developers to break down product requirements into discrete tasks with clear functional requirements/acceptance criteria
- Provide constant and iterative feedback to the development team, including identifying bugs and assisting in resolution
- 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
RequirementsThe Necessities
- Graduate degree in data science or heavily-weighted category
- Ability to define and plan overall ML strategy with our Technical Director
- Ability to define and write algorithms
- 2-3+ years of Product Management experience
- Exceptional business and systems analysis skills
- Ability to work in a fast-paced, project-oriented environment to meet deadlines under tight time constraints
- Ability to work independently as well as collaboratively within a team environment consisting of Product, Engineering, and QA resources
- Excellent communication skills, both in verbal and written formats
- Must have the ability to interface with internal stakeholders
- Ability to write/design python and/or R statistical programming
The Extras
- Data warehousing experience (Snowflake or Databricks)
- Actuarial experience
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 BenefitsWe'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 ProcessOur 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.
