Staff Data Scientist
Join Flex as a Staff Data Scientist to shape analytics strategy and drive business outcomes in a growth-stage FinTech company.
Posted by employer 1 month ago
First seen on Joblaze 1 month ago
Last verified on the company career page 5 hours ago
Requirements
- Experience
- 5+ years
- Education
- Bachelor's degree
Not disclosed in this posting: visa sponsorship.
Benefits
Joblaze summary
In the role of Staff Data Scientist at Flex, the individual will focus on enhancing the company's understanding of key business areas through the development of scalable analytical frameworks and dashboards. Proficiency in SQL and business intelligence tools, along with a strong background in analytics, is essential for success in this position. This role is well-suited for experienced professionals who possess a blend of analytical rigor and strategic insight, particularly those with a curiosity-driven mindset. Flex, a growth-stage FinTech company, emphasizes a collaborative culture and is committed to empowering renters.
Joblaze insights
- Listed about a month ago — first seen on Joblaze September 9, 2026. Last confirmed on Flex's careers page October 29, 2026.
- Salary band is below the typical range for Data Science roles (median ~$179,000).
- Starts above 13% of 30 comparable staff data science roles in United States that list SQL we track (median $196,000 across 16 companies). See SQL salary trends
- SQL appears in 80% of 45 comparable staff data science roles in United States; Mode appears in 2.2% of 45 comparable staff data science roles in United States.
Quick facts
- Is the Staff Data Scientist role remote?
- It's hybrid — Flex expects some on-site time in New York, NY.
- What's the salary range?
- Flex lists $155,000–$187,000 for this role.
- How much experience is required?
- At least 5 years of relevant experience for this Staff Data Scientist role.
- Where is the role based?
- Flex is hiring for this position in New York, NY.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: Looker, Mode, SQL, Snowflake, Tableau, dbt.
- What seniority level is this role?
- Flex targets staff-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Staff Data Scientist role at Flex.
From the original posting
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.
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
Standard company text repeated across Flex's postings is omitted here.