Senior Data Scientist, Revenue & Risk Analytics

This is a fully remote position, open to applicants in United States.

📋 Description

• Take ownership of and discover innovative strategies throughout the entire revenue waterfall to enhance and recover revenue in collaboration with client-facing teams.

• Create compelling narratives and discussions for Revenue to consistently optimize and expand existing partnerships, supported by data insights from testing, Monte Carlo simulations, and/or machine learning models.

• Experiment with optimization concepts, validate their effectiveness with data, and advocate for their development into features with backend Product and Engineering teams that can transform the company's revenue generation.

• Oversee, refine, and enhance current data pipelines to leverage the capabilities of data analytics.

• Establish data structures and utilize advanced tracking methodologies to identify revenue opportunities.

• Set a benchmark for the team in analytical thinking and excellence.

• Formulate strategic recommendations driven by data to scale, enhance, and recover revenue.

• Design tailored programs addressing risk reserves, customer pricing, and communication strategies for client-facing teams.

• Recognize opportunities to enhance coverage accuracy for risk mitigation and work with Product and Engineering teams to translate them into features.

⛳️ Requirements

• Over 5 years of experience in product data science or consulting, with a strong focus on strategic thinking and a proven record of generating business impact.

• Strong foundation in statistics, including experimentation, causal inference, forecasting, and modeling.

• Previous experience collaborating with backend Product and Engineering teams on executing product roadmaps.

• Proficient in SQL, Python, A/B testing, and GitHub.

• Practical experience with Snowflake and dbt (or similar tools).

• Inquisitive and willing to think beyond the revenue organization, prioritizing the overall best interests of the business.

• Empathetic, humble, and collaborative, comfortable with ambiguity and demonstrating high ownership within a remote-first team.

• Enthusiastic about AI tools (such as Claude, Gemini, etc.) and eager to integrate them into your workflow.

• Advanced degree in data science, analytics, economics, statistics, or a related quantitative discipline.

• Must not require immigration-related sponsorship for this position.

🏝️ Benefits

• Competitive salary based on experience.

• Comprehensive medical benefits.

• Dental benefits.

• Vision benefits.

• Equity in a rapidly growing early-stage startup.

• Generous and flexible paid time off policy.

• 401(k) plan with financial guidance from Morgan Stanley.

• A collaborative and supportive work environment.