Senior Data Scientist, SoFi

• B.S. or M.S. in Computer Science, Statistics, Operations Research, Engineering, Mathematics or a related quantitative field is required for this position. M.B.A preferred, not required
• 5+ years of industrial experience working in the credit card industry in an analytics, business strategy, pricing, or related role
• Strong understanding of Credit Card PnL (profit and loss) drivers
• Proven track record of end-to-end experience in utilizing and laying strategic framework for model development, testing, implementation and performance tracking in the financial services industry
• Knowledge and understanding of statistical and econometric modeling methods for significance testing and causal inference
• Strong programming skills in SQL, Python and proficiency in Tableau
• Ability to work in a dynamic, cross-functional environment, with strong attention to detail
• Effective communication skills and ability to explain complex concepts in simple terms
• Strong relationship building and collaborative skills
• Excels in a fast moving environment with outstanding stakeholder management abilities
• Exceptional problem-solving skills

Desirable

• We are seeking a Senior Data Scientist to join our Pricing team in the Lending Organization, with focus on our Credit Card business. This is an exciting role for someone looking to make a direct impact on the revenue and profitability of SoFi’s Credit Card business
• As a Senior Data Scientist in our pricing team, you will be responsible for working with cross-functional teams and leaders to develop, launch, and scale pricing initiatives that meet the needs of our customers and the business
• You will combine a strong understanding of business strategy, market dynamics, and product development with advanced data analysis to drive performance, optimize pricing structures, and maximize customer and business impact
• You will work closely with stakeholders across Engineering, Marketing, Finance, Risk, and Leadership to deliver strategies that enhance both customer value and portfolio performance
• Pricing Strategy & Execution: Design and run A/B tests and controlled experiments to evaluate the impact of pricing, offers, and messaging strategies on acquisition, usage, credit risk and profitability
• Data-Driven Decision Making: Utilize advanced analytics to monitor credit card performance, identify pricing optimization opportunities (e.g., APR structures, fees, and offers), and make data-backed decisions that improve profitability and user experience
• Stakeholder Collaboration: Work closely with cross-functional teams - including Risk, Business, Finance, Marketing, Engineering and Product - to ensure successful design, testing, and implementation of pricing initiatives from concept to launch
• Market Research & Insights: Conduct competitive benchmarking and market research to assess credit card pricing trends, promotional offers, and customer preferences to inform product positioning
• KPIs & Metrics: Define and track key performance indicators (KPIs) and metrics to measure product success, and drive improvements based on these insights
• Pricing Modeling: Collaborate with the Pricing Data Science team to build and enhance analytical models that inform pricing decisions - such as elasticity, profitability, sensitivity, and optimization models - to support business strategy and improve financial outcomes
• Customer-Centric Focus: Ensure that products meet customer expectations and are positioned to deliver maximum value and satisfaction
• Leadership: Lead pricing and product development initiatives, mentor team members, and communicate effectively with senior leadership to drive business outcomes
• Continuous Improvement: Analyze product feedback, usage data, and performance metrics to drive continuous product iterations and improvements