Data Scientist

Summary

Join Extend's Revenue Analytics team and contribute to strategic recommendations that drive revenue growth. Lead the development and implementation of innovative pricing strategies. Collaborate with cross-functional teams to execute data-driven strategies for existing and future products. Utilize advanced quantitative analysis techniques to influence strategic direction and present insights to leadership. Enhance and refine quantitative tools to uncover revenue opportunities. This role requires strong analytical and communication skills and a collaborative team spirit.

Requirements

• Analytical problem-solver with 2+ years experience breaking down business problems into data driven impact
• Advanced degree in data science, analytics, economics, statistics or similar quantitative field
• Strong knowledge of SQL, structuring data and ability to effectively query multiple tables of different grains with use of subqueries and window functions
• Expertise with Python and Github
• Strong written and verbal communication skills who excels at sharing data insights to audiences of all backgrounds
• Intellectually curious, willing to think beyond just the revenue organization and prioritize what is best for the business holistically
• Empathetic, humble, and collaborative team player
• Candidates must be located within the continental United States

Responsibilities

• Strategic Pricing and Revenue Optimization: Lead the development and implementation of innovative pricing strategies to maximize revenue generation and enhance client acquisition
• Lead Cross-functional Projects: Act as internal consultant, liaising with internal stakeholders such as Revenue, Programs, and Servicing teams to define and execute on data-driven strategy on existing and future products
• Data-driven Insights: Utilize advanced quantitative analysis techniques (simulation models, A/B testing etc.) to influence audiences on strategic direction, with opportunities to present these insights to leadership and cross-functional partners on a regular basis
• Data Infrastructure: Enhance and refine existing quantitative tools to harness the power of data analytics, defining data structures, and leveraging advanced tracking methodologies to uncover revenue opportunities

Preferred Qualifications

• Previous experience in consulting a plus
• Practical and theoretical knowledge of A/B testing a plus

Benefits

• Competitive salary based on experience, with full medical and dental & vision benefits
• Stock in an early-stage startup growing quickly
• Generous, flexible paid time off policy
• 401(k) with Financial Guidance from Morgan Stanley