Senior Staff Data Scientist

Summary

Join Flex, a growing FinTech company in NYC, as a Senior Staff Data Scientist to develop cutting-edge machine learning systems that drive business growth. You will be responsible for the entire ML project lifecycle, from data collection to model deployment and maintenance, ensuring high performance and scalability. You will collaborate with data scientists, product teams, and engineers to implement innovative solutions that power consumer growth. This role requires a Master's or Ph.D. in a quantitative field, 6+ years of experience in data science, expertise in predictive modeling, strong proficiency in Python or R, and hands-on experience with large datasets and cloud platforms.

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, develop, and implement cutting-edge statistical and machine learning models to effectively enhance consumer experiences and drive growth
• Take technical ownership of the end-to-end ML project life cycle, from data collection and preprocessing to model development, deployment, post-launch monitoring and maintenance, as well as sunsetting
• Leverage large-scale datasets to conduct exploratory data analysis and visualization, extracting actionable insights that guide strategic decision-making
• Collaborate with product managers, engineers, business and compliance stakeholders to understand requirements and translate them into technical solutions
• Build robust data pipelines and infrastructure to support model development, training, and deployment in a production environment
• Evaluate model performance, conduct A/B testing, and iterate on model improvements to enhance accuracy and effectiveness
• Stay current with industry trends, research advancements, and best practices in machine learning and fintech

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