Note: The job is a remote job and is open to candidates in USA. Wing develops and operates automated drone delivery services for last-mile logistics. The Senior Data Scientist will use advanced analytics, statistical methods, and predictive modeling to evaluate product and business performance, quantify impact, and guide strategic decisions. The role also translates analytical findings into recommendations and builds scalable workflows in partnership with cross-functional 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)
- 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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