What are the responsibilities and job description for the Staff Data Scientist position at flex?
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 2025 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?
About The Role
As a Staff Data Scientist on the Risk and Data Science team, you will be responsible for data science projects in the risk domain. You will be directly developing machine learning models with the goal of maximizing customer LTV (Lifetime Value).
This is a hybrid position with on-site expectations of 3 days per week in our New York Headquarters. For candidates outside the NY/NJ area, you may be eligible for our relocation assistance program.
What You’ll Do
- Develop and implement cutting-edge risk management models, leveraging advanced statistical and machine learning techniques to effectively manage fraud/ credit financial loss on both consumers and partners sides.
- Work on the ed-to-end life cycle data science projects, from data collection and preprocessing to model development and deployment.
- Design and build model monitoring system and model governance.
- Collaborate cross-functionally with key stakeholders to understand business objectives and translate them into actionable data science strategies.
- Collaborate with engineers, compliance and product to deploy models.
- Stay up to date with the latest developments in data science and machine learning and evaluate how they can be applied to enhance our lending processes.
- Experience in both the credit and fraud domain is a plus.
Key Qualifications
- Advanced degree in a quantitative field such as statistics, mathematics, or computer science.
- Proficiency in Python, SQL, or another analytical tool is a must.
- Experience in developing risk models and consumer behavior models.
- Proficiency in statistical analysis, machine learning, and data visualization tools.
- Experience collaborating with cross-functional teams and effectively communicating data-driven recommendations to non-technical stakeholders.
- In-depth knowledge of model governance principles and practices.
- Minimum 5 years of relevant data science experience is required.
The salary compensation range for this role will be commensurate with the candidate's experience and Flex's internal leveling guidelines and benchmarks.
For working locations in NY/NJ/CA, the base salary pay range will be $161,000-175,000
For all other states, the base salary pay range will be $145,000-158,000
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.
We offer many employee benefits. For full time, U.S. based employees we offer:
- Competitive pay
- 100% company-paid medical, dental, and vision
- 401(k) company equity
- Unlimited paid time off with a PTO minimum 13 company paid holidays
- Parental leave
- Flex Cares Program: Non-profit company match pet adoption coverage
- Free Flex subscription
For full time non-US employees, we offer
- Competitive Pay
- Company Equity
- Unlimited PTO
Salary : $145,000 - $158,000
