Senior Data Scientist, Extend

• 2+ years in an analytics-driven role (analytics, consulting, etc), preferably with a digital product or service
• Expertise in Python or R
• Strong knowledge of SQL, structuring data and ability to effectively query multiple tables of different grains with use of subqueries and window functions
• An analytical thinker with strong consultative skills for cross-functional work
• Practical and theoretical knowledge of A/B testing preferred
• A curious, entrepreneurial leader with plenty of grit, analytical prowess, creative thinking, and initiative
• Strong written and verbal communication skills
• Address ambiguous problems and formulate hypotheses into actionable and well-designed experiments
• Ability to dive deep into data and communicate insights to audiences of all backgrounds
• Ability and interest in thinking beyond the revenue organization, considering the challenges of other teams, and prioritizing what is best for the business holistically
• Empathy and humility

Desirable

• This is a data science / analytics hire to support Extend's Revenue Analytics team. You will have the opportunity to help scale and drive revenue within the organization by partnering with sales, marketing, product, engineering, and business leaders to drive value to our existing products and help to identify new product opportunities
• Strategic Pricing and Revenue Optimization: Lead the development and implementation of innovative pricing strategies to maximize revenue generation and enhance client acquisition
• Innovative Experimentation: Conduct A/B testing and experimentation on customer-facing product touchpoints, refining our approach to drive incremental revenue and enhance the merchant experience
• Lead Cross-functional Projects: Work with internal stakeholders such as Sales, Growth, Program, and Servicing teams to define and execute on analytics-driven enhancements to current and future products
• Data-driven Insights: Utilize advanced quantitative analysis techniques to identify and prioritize strategic initiatives, driving increased attach rates and revenue growth for our merchant partners, and opportunities to present the insights to leadership and cross-functional partners on a regular basis
• Data Infrastructure: Collaborate with data engineering and product teams to harness the power of data analytics, defining data structures, and leveraging advanced tracking methodologies to uncover revenue opportunities