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Staff Data Scientist

Remote (U.S.)

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 2024 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

We are seeking an experienced Staff Data Scientist to join our dynamic team and play a pivotal role in driving business growth through advanced data science and machine learning techniques. As a key contributor, you will develop and deploy state-of-the-art statistical and ML models, providing actionable insights that influence strategic business decisions. Working closely with cross-functional teams, you will tackle high-impact challenges and continuously innovate to improve our products and services, ensuring we remain at the forefront of data-driven decision-making.

What you’ll do

  • Design, build, and deploy sophisticated statistical and machine learning models, with a strong focus on forecasting and optimization to solve complex business problems.
  • Develop and apply advanced time series forecasting models to predict future trends and business outcomes, guiding strategic decision-making and resource allocation.
  • Create and implement forecasting and optimization models to support critical business functions, helping the company operate more efficiently and effectively.
  • Use large, complex datasets to perform exploratory data analysis (EDA), identify key trends, and extract actionable insights that directly influence business and product decisions.
  • Collaborate with product managers, engineers, and business stakeholders to define business problems, design and implement modeling solutions that deliver measurable impact.
  • Conduct robust A/B testing, model validation, and evaluation to assess model performance and ensure that solutions meet business objectives.
  • Continuously improve model performance by experimenting with new techniques, tuning model parameters, and iterating on solutions to enhance accuracy and effectiveness.
  • Stay up to date with the latest advancements in machine learning, statistics, and optimization techniques, and apply these innovations to improve model effectiveness.
  • Communicate complex technical findings to non-technical stakeholders, creating clear visualizations and reports that convey insights in a digestible and impactful way.

Key qualifications

  • Master’s or Ph.D. in Statistics, Mathematics, Computer Science, or a related quantitative field.
  • 6+ years of experience in data science with a focus on applying statistical modeling and machine learning to real world business problems.
  • Expertise in time series analysis and forecasting models (e.g., ARIMA, Prophet, LSTM), as well as optimization techniques (e.g., linear programming, mixed-integer programming, constraint optimization) to solve complex business problems.
  • Strong proficiency in Python, R, or similar programming languages, with fluency in statistical and machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch).
  • Experience working with large datasets and leveraging cloud platforms (e.g., AWS, GCP) or distributed computing frameworks for data processing.
  • Proven ability to apply complex statistical, machine learning, and data visualization techniques to drive measurable business outcomes.
  • Excellent communication skills with the ability to explain complex technical models and insights to both technical and non-technical audiences.
  • Strong problem-solving skills and the ability to collaborate with cross-functional teams to develop and implement modeling solutions.

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 $209,000-225,000

For all other states, the base salary pay range will be $188,000-203,000

#LI-Remote

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

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