Senior Data Scientist

Summary

Join Finfare's Data Science team as a Principal Data Scientist specializing in marketing and credit risk analytics. You will own and optimize the end-to-end data analytics ecosystem, driving insights and strategic recommendations across various teams. Leverage advanced statistical and machine learning techniques to build predictive models for credit underwriting, performance marketing, and more. Collaborate with Product, Marketing, Finance, Risk, and Operations teams to define and track key performance indicators (KPIs). Present data-driven insights to senior leadership, influencing strategic decisions. Continuously monitor and refine analytics processes for improved data accuracy and accessibility. This high-impact role offers a competitive salary and comprehensive benefits package.

Requirements

• 8+ years of experience in data science, analytics, with a successful track record of driving top-line and bottom-line impact, preferably within the financial services industry
• Proficient in advanced data analysis tools and programming languages such as SQL, Python, or SAS, and experienced in developing and implementing machine learning models (minimum 5+ years experience)
• Demonstrated ability to translate complex data insights into strategic recommendations, especially in areas like performance marketing, ROI, LTV, forecasting, and recommendation systems
• Proven experience collaborating effectively across Product, Marketing, Risk, Finance, and Operations, with the ability to influence senior leadership
• Strong analytical and problem-solving skills, with a proactive approach to identifying opportunities for data-driven improvements
• Excellent written and verbal communication skills, with the ability to clearly articulate technical concepts to non-technical audiences

Responsibilities

• Develop a deep understanding of Finfare's data landscape to identify opportunities for analytics-driven improvements
• Deliver actionable recommendations to stakeholders across multiple teams to support company-wide objectives
• Partner closely with Product, Marketing, Finance, Risk, and Operations to define and track metrics that directly impact Finfare's KPIs related to user growth, engagement, and revenue
• Leverage advanced statistical and machine learning techniques to build prediction models for credit underwriting, performance marketing, customer lifetime value, and offer recommendation systems
• Optimize these models to ensure their relevance and accuracy in driving business outcomes
• Building P&L forecasting models to analyze and communicate how key initiatives influence Finfare's top-line and bottom-line metrics, providing data-backed recommendations that support company growth
• Act as a thought leader by presenting data-driven insights and recommendations to senior leadership, influencing strategic decisions to maximize growth and engagement
• Continuously monitor and refine analytics processes to improve data accuracy, scalability, and accessibility across the organization
• Perform other duties as assigned

Preferred Qualifications

• Strong data analysis and visualization skills
• Practical knowledge of data engineering
• A proactive and open mindset with a willingness to learn and adapt to emerging technologies and techniques

Benefits

• Competitive Health, Vision, and Dental benefits (covering 100% premium for employee and all dependent(s))
• Unlimited PTO
• 401K (Employer matching)
• Employee Stock Purchase Plan (if applicable)
• Health and Wellness reimbursement
• Catered lunches
• Hybrid or remote - depending on the role
• Work Sponsorship (if applicable)