Senior Staff Data Scientist

Summary

Join Flex, a NYC-based FinTech company, as a Senior Staff Data Scientist to contribute to our innovative Flex for Good program. This role focuses on leveraging cutting-edge data science and machine learning to identify renters at risk of eviction, optimize resource allocation, and measure program outcomes. You will design and deploy advanced statistical and machine learning models, collaborate with cross-functional teams, and translate complex technical findings into actionable insights. The position requires a Master's or Ph.D. in a quantitative field and 6+ years of relevant experience. Flex offers competitive pay, comprehensive benefits, and a dynamic work environment.

Requirements

• Master’s or Ph.D. in Statistics, Mathematics, Computer Science, or a related quantitative field
• 6+ years of experience in data science, specializing in statistical modeling and machine learning applied to real-world challenges
• Expertise in predictive modeling, optimization techniques, and causal inference to address complex business problems
• Strong proficiency in Python, R, or similar programming languages, with deep knowledge of statistical and machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch)
• Hands-on experience with large datasets, cloud platforms (e.g., AWS, GCP), or distributed computing frameworks for data processing
• Proven track record of leveraging advanced statistical, machine learning, and data visualization techniques to drive measurable business outcomes
• Exceptional communication skills, with the ability to articulate complex technical models and insights to both technical and non-technical audiences
• Strong problem-solving abilities and a collaborative mindset, working effectively with cross-functional teams to develop and deploy impactful solutions

Responsibilities

• Design, build, and implement advanced statistical and machine learning models, focusing on prediction, optimization, and impact measurement
• Develop and apply sophisticated predictive models to identify high-risk targets who are most likely to benefit from rental assistance, guiding strategic decisions on resource allocation
• Create and implement causal inference models to assess and attribute outcome impact, improving the effectiveness and efficiency of our program
• Analyze large, complex datasets to uncover key trends and generate actionable insights that drive important program decisions
• Work closely with business stakeholders, product managers, and engineers to define problems, design modeling solutions, and ensure measurable impact
• Conduct rigorous A/B testing, model validation, and performance evaluation to ensure that solutions align with program objectives
• Experiment with new techniques, fine-tune model parameters, and iterate on solutions to enhance model performance and overall program efficacy
• Stay at the forefront of machine learning, statistics, and optimization advancements, applying these innovations to optimize model performance
• Translate complex technical findings into clear, actionable insights for both technical and non-technical stakeholders, presenting results through intuitive visualizations and reports

Benefits

• 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
• Competitive Pay
• Company Equity
• Unlimited PTO