Jobs Companies Flex Staff Data Scientist

Sobre este puesto de Staff Data Scientist en Flex

Flex · Híbrido · New York, NY

Flex is a growth-stage, NYC headquartered FinTech company that is creating the best rent payment experience. It’s hard to believe that it’s 2026 and paying rent on time is expensive, inflexible, and difficult. We’re here to change that! Flex enables our users to pay rent throughout the month on a schedule that better fits their finances and budget. Our mission is to empower as many renters as possible with flexibility over their most significant recurring expense. After deliberately keeping a stealth profile as we built up unprecedented investor support and an enthusiastic user base, we are looking for motivated individuals to help us keep our mission growing. Will you be a part of the team?

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.

Tier 1 (NYC/Bay Area)
$155,000$187,000 USD

Life at Flex

We understand that it takes a diverse team of highly intelligent, curious, determined, empathetic, and self aware people to grow a successful company. Our HQ is located in New York City, but we have employees located throughout the US, Australia, Canada and South America. We are growing quickly, but deliberately, with a focus on building an inclusive culture. Our dynamic team has incredible perspectives to share, just as we know you do, and we take great 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

For full-time U.S. employees we offer:

  • Competitive medical, dental, and vision
  • Company equity
  • 401(k) plan with company match 
  • Unlimited paid time off + 13 company paid holidays
  • Parental leave 
  • Free Flex subscription

 For full-time non-U.S. employees, we offer:

  • Competitive compensation + company equity
  • Unlimited PTO
¿Listo para postularte en Flex?
Postúlate en Flex

Cómo se compara este salario de Data Scientist

Este puesto paga $171,000/yren línea con el rango típico para los puestos de Data Scientist.

$143,930 la mediana de $204,750 $297,900

Rango típico $167,500–$236,000/yr, a partir de 107 ofertas comparables de Data Scientist en JobsRadar (salario anualizado en USD). Ver datos salariales de Data Scientist →

Empleos similares

Eight Sleep
Data Scientist, Growth
Eight Sleep
⚡ Postúlate pronto Remote Global · restringido por ubicación
● Nuevo 👁 Visto ✓ Postulado hace 4d
SA
Machine Learning Systems Research Engineer/Scientist, Agent Post-training - Enterprise GenAI
Scale AI
⚡ Postúlate pronto San Francisco, CA; New York, N... Presencial $264,800–$331,000
● Nuevo 👁 Visto ✓ Postulado hace 4d
SA
Staff Machine Learning Research Scientist Agent Post-training - Enterprise GenAI
Scale AI
⚡ Postúlate pronto San Francisco, CA; New York, N... Presencial $264,800–$331,000
● Nuevo 👁 Visto ✓ Postulado hace 4d
SA
Machine Learning Research Scientist Agents - Enterprise GenAI
Scale AI
⚡ Postúlate pronto San Francisco, CA; New York, N... Presencial $264,800–$331,000
● Nuevo 👁 Visto ✓ Postulado hace 4d
Lyft
Senior Data Scientist, Causal Inference
Lyft
⚡ Postúlate pronto New York, NY Híbrido $148,000–$185,000
● Nuevo 👁 Visto ✓ Postulado hace 4d
Lyft
Data Scientist, Decisions - Central Market Management
Lyft
⚡ Postúlate pronto New York, NY Híbrido $128,000–$160,000
● Nuevo 👁 Visto ✓ Postulado hace 4d
Lyft
Senior Data Scientist, Algorithms, Lyft Biz
Lyft
⚡ Postúlate pronto New York, NY Híbrido $136,160–$170,200
● Nuevo 👁 Visto ✓ Postulado hace 4d
Capital One
Principal Associate, Data Scientist - US Card (Generative AI Systems)
Capital One
⚡ Postúlate pronto McLean, VA Presencial
● Nuevo 👁 Visto ✓ Postulado hace 5d
NVIDIA
Principal Research Scientist, Synthetic Data Generation
NVIDIA
⚡ Postúlate pronto US, CA, Santa Clara Presencial
● Nuevo 👁 Visto ✓ Postulado hace 5d

Regístrate para recibir sugerencias adaptadas a los empleos que abres y las búsquedas que guardas.

Más empleos en Flex

Ver todos los empleos en Flex →

Postúlate ahora
🤖

Un momento — para

JobsRadar se creó para personas reales que están pasando un mal momento en su búsqueda de empleo — no para solicitudes automatizadas. Estás haciendo clic demasiado rápido y ahora estás bloqueado temporalmente.

Vuelve más tarde. Si de verdad estás buscando empleo, cuentas con nosotros — solo compórtate como una persona.

Catch your next role the second it’s posted.

Create a free account and we’ll watch the boards for you — the instant a job matches your search, it lands in your inbox or Telegram. No digging, no refreshing.

Create free account

Free forever · takes 30 seconds · already have one?

Toma ventaja en tu búsqueda de empleo.

Únete a nuestro canal de Telegram para lo que te ayuda a conseguir el puesto — referencias salariales, el pulso semanal del mercado y avisos de nuevas funciones. Sin spam, solo señal.

Únete al canal — es gratis