Note: The job is a remote job and is open to candidates in USA. Wing develops automated drone delivery solutions for last-mile logistics and is part of Alphabet. The company is seeking a Senior Data Scientist to conduct advanced analytics, build predictive models, perform statistical analysis, and translate complex data into actionable recommendations for business and product leadership.
Responsibilities
- Execute deep-dive research and advanced analytics on complex datasets to uncover hidden patterns, interpret trends, and synthesize strategic business insights
- Develop robust measurement and evaluation frameworks to define new metrics and ensure product features and operational changes meet strict standards for quality and performance
- Design, train, and deploy advanced machine learning and predictive models to evaluate complex tradeoffs, forecast trends, and quantify business impact
- Conduct rigorous statistical analysis, causal inference, and A/B testing to mathematically validate hypotheses, facilitate product deployment readiness, and measure ongoing business performance
- Translate the outputs of complex statistical models into clear, data-driven conclusions and communicate actionable recommendations to non-technical senior stakeholders
- Establish yourself as a point-of-contact for significant project areas, scoping technical priorities, innovating on statistical methods, and partnering closely with cross-functional leadership to solve ambiguous business problems
- Strategize, develop, and scale custom algorithms, automated workflows, and advanced analytical frameworks to operationalize predictive insights and empower self-serve decision-making
Skills
- * **8+ years** in data science, advanced analytics, product data science, or strategic quantitative roles
- * **Degree in a highly quantitative field** (e.g., Statistics, Mathematics, etc.)
- * **Strong coding proficiency** and demonstrated knowledge of data analysis libraries and packages (explicitly Python and SQL; R is also beneficial)
- * **Expertise using advanced statistical methods** in an applied setting, with a strong foundation in experimental design, causal inference, and rigorous A/B testing
- * **Familiarity with ML systems and models** (e.g., predictive modeling, forecasting) and how to evaluate their performance at scale
- * A demonstrated track record of independently driving data science projects from raw data to actionable predictive solutions, delivering measurable business value
- * **Excellent communication and storytelling skills**, with the ability to explain complex mathematical concepts and present analytical findings effectively to product and business leadership
- * **Demonstrated ownership mindset** with the ability to influence technical decisions, prioritize high-impact workstreams, and collaborate with leadership across multiple functions
Benefits
- Bonus
- Equity
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