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Jobs(26,629)/Senior Data Scientist Role(292)/Extend (12) - Senior Data Scientist, Revenue & Risk Analytics
Extend

Extend - Senior Data Scientist, Revenue & Risk Analytics

Remote - USA$125k - $145k1w ago
RemoteSeniorNAArtificial IntelligenceData AnalyticsSenior Data ScientistPythonSQLSnowflakeGitHubdbtClaudeGeminiCloseStorytellingHarness

Requirements

• 5+ years in product data science or consulting with a strong emphasis in strategic thinking and a track record of driving business impact. • Solid statistical foundations: experimentation, causal inference, forecasting, and modeling. • Previous experience working with backend Product and Engineering teams on implementing product roadmaps. • Expert knowledge of SQL, Python, A/B testing, and Github, with hands-on Snowflake and dbt (or close equivalents). • Intellectually curious, willing to think beyond just the revenue organization and prioritize what is best for the business holistically. • Empathetic, humble, and collaborative, with comfort in ambiguity and high ownership in a remote-first team. • Excited about AI tools (Claude, Gemini, etc.) and eager to use them to complement your workflow. • Advanced degree in data science, analytics, economics, statistics or similar quantitative field. • Expected Pay Range: $125,000 - $145,000 per year salaried*

Responsibilities

• Revenue optimization and risk mitigation: Own and identify innovative new strategies across the entire revenue waterfall to grow and recover revenue together with client-facing teams. • Revenue optimization and risk mitigation: • Storytelling for client-facing teams: Build talk tracks and narratives for Revenue to continuously optimize and grow existing partnerships, backed by data insights from testing, Monte Carlo simulations, and/or ML models. • Storytelling for client-facing teams: • Influence the product roadmap: Test optimization ideas, prove they work with data, and make the case to backend Product and Engineering teams to turn them into features that change how the company makes money. • Influence the product roadmap: • Data Infrastructure: Own, refine, and improve existing data pipelines to harness the power of data analytics, defining data structures, and leveraging advanced tracking methodologies to uncover revenue opportunities. • Data Infrastructure: • Role Model: Set the standard for the team in terms of analytical thinking and excellence. • Role Model:

Benefits

• The target base salary range for this position is listed above. Individual salaries are determined based on a number of factors including, but not limited to, job-related knowledge, skills and experience. • Extend does not provide immigration-related sponsorship for this role. • Life at Extend: • Life at Extend: • Working with a great team from diverse backgrounds in a collaborative and supportive environment. • 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. • Extend CCPA HR Notice

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