Staff Data Scientist
New York, NY
- Pay
- Pay not listedSimilar roles state $118K–$193K
- Work setting
Hybrid — work setting source
Strong ownership mindset with a deep natural curiosity to dive into the details and understand how systems work This role is hybrid with on-site expectations of 3 days per week in our New York Headquarters. Compensation
Read the full posting- Employment
Full-time — employment source
Employment type in the employer’s posting: full-time (exempt)
From the employer’s posting
What you’ll work on
Full postingBuild scalable frameworks that connect data across the business
Root cause data and performance issues across the business
Create and improve dashboards, visualizations, and automations
Establish causal links between actions and outcomes through experiments
Turn data findings into implications for strategic priorities
From the employer’s posting
creating scalable frameworks that connect dots across the business into easily interpretable outputs
Proactively and effectively root cause data and performance issues across the business
Create and improve dashboards, visualizations, and automations that help us scale analytics across Flex
Work to establish clear causal links between actions and outcomes through experimentation and other relevant methods
Combine data and strategy - being that bridge between what the data is telling us and the implications for strategic priorities
Education & alternatives
- 5+ years of experience using analytical and statistical methods to support and drive critical business outcomes - Bachelor's degree in finance, economics, or other related fields - Expert communicator who can break down complex technical concepts into simple business vernacular
Tools in this posting
- SQL
- dbt
- Looker
- Snowflake
- Tableau
Source — Tool mentions in context
- Demonstrated success driving business strategy and outcomes from an analytics lens - Advanced experience with SQL, business intelligence tools (e.g., Tableau, Mode, Looker, etc.) - Experience with ETL processes, especially utilizing dbt and Snowflake
- Advanced experience with SQL, business intelligence tools (e.g., Tableau, Mode, Looker, etc.) - Experience with ETL processes, especially utilizing dbt and Snowflake - Track record of using quantitative, analytical, and problem-solving skills to drive decisions
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Sep 13, 2026 · 47 days ago
- Recorded sightings
- 33
- Last seen by us
- Oct 29, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
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Job description
Flex is a growth-stage, NYC headquartered FinTech company that is building the payment layer for life's financial obligations, giving households one place to see, split, and pay their bills around how they live and get paid. By offering greater choice over how and when payments are made and allowing eligible on time payments to help build a positive credit history, Flex puts households back in control of their cash flow.
That work brings together people with different perspectives who challenge the status quo and take ownership of solving difficult problems. For you, that means doing the best work of your career next to people who make you better, and together bringing ideas to life that make a real impact for the people we serve.
As a Staff Data Scientist, reporting to our Director of Analytics, you will play a critical strategic role in shaping Flex's future by guiding key analytics projects across our Go-To-Market and Account Management teams. You will champion truth seeking across the business, working to bring clarity to some of Flex’s most challenging and complex areas. Through your technical expertise and mastery of data-led story telling, you improve our understanding of the business and where we can make improvements. The ideal candidate for this role is intensely curious, holds themselves to a high analytical bar, while simultaneously balancing analytical rigor with speed and ultimate business impact.
What you’ll do
- Improve our understanding of key Flex domains by creating scalable frameworks that connect dots across the business into easily interpretable outputs
- Proactively and effectively root cause data and performance issues across the business in order to ensure continued strong performance
- Create and improve dashboards, visualizations, and automations that help us scale analytics across Flex
- Work to establish clear causal links between actions and outcomes through experimentation and other relevant methods, where applicable
- Combine data and strategy - being that bridge between what the data is telling us and the implications for strategic priorities within different areas of the business
- Champion best practices, precise and consistent terminology, and robust documentation within Analytics and more broadly across the organization
Key qualifications
- 5+ years of experience using analytical and statistical methods to support and drive critical business outcomes
- Bachelor's degree in finance, economics, or other related fields
- Expert communicator who can break down complex technical concepts into simple business vernacular
- Experience across a variety of analytical domains that allow you to bring unique perspectives to solving hard problems
- Demonstrated success driving business strategy and outcomes from an analytics lens
- Advanced experience with SQL, business intelligence tools (e.g., Tableau, Mode, Looker, etc.)
- Experience with ETL processes, especially utilizing dbt and Snowflake
- Track record of using quantitative, analytical, and problem-solving skills to drive decisions
- Biased for action - knows when to not let perfect be the enemy of good enough, while also can effectively highlight the tradeoffs/risks of moving too quickly too soon
- Strong ownership mindset with a deep natural curiosity to dive into the details and understand how systems work
This role is hybrid with on-site expectations of 3 days per week in our New York Headquarters.
Compensation
Flex takes a market-based approach to pay, ensuring compensation is commensurate with a candidate's experience and our internal leveling guidelines. For candidates located in our Tier 1 (NYC/Bay Area) markets, the base salary pay range for this role is below. Flex utilizes a geographic pay differential based on a cost of labor index. If you are located outside of the cities listed below, your starting pay will be adjusted to align with the market conditions of your specific geographic zone. Please speak with your recruiter for additional information regarding the specific range for your location.
Life at Flex
Building a successful company takes a diverse team of intelligent, curious, determined, empathetic, and self-aware people. Our headquarters is in New York City, with employees across the US, Australia, Canada, and South America. We’re growing quickly and deliberately, with a focus on building an inclusive culture. We value the perspectives our people bring and take pride in being an equal opportunity workplace.
Offices
Roles posted in New York, San Francisco, and Salt Lake City are hybrid positions with on-site expectations of 2-3 days per week in our local offices. For candidates outside of these areas, you may be eligible for our relocation assistance program.
Benefits
View our benefits and more at getflex.com/careers.
Source details
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
New York, NY
- Strong ownership mindset with a deep natural curiosity to dive into the details and understand how systems work This role is hybrid with on-site expectations of 3 days per week in our New York Headquarters. Compensation
More source context
Offices Roles posted in New York, San Francisco, and Salt Lake City are hybrid positions with on-site expectations of 2-3 days per week in our local offices. For candidates outside of these areas, you may be eligible for our relocation assistance program. Benefits
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
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