Senior Data Scientist

Wing•Palo Alto, CA

4d•$169,000 - $224,000

About The Position

Wing is seeking a Senior Data Scientist to join its Business and Product Analytics & Data Science team. The role is based in Palo Alto, California, or may be performed remotely within the United States. The successful candidate will use advanced analytics, statistical methods, and modeling to turn complex business questions into decision-focused problems, evaluate tradeoffs and impact, and guide strategic choices. They will communicate actionable recommendations that help leadership make data-informed decisions. Wing develops and operates automated delivery drones, offering on-demand delivery services on two continents. It is part of Alphabet, Google’s parent company, and aims to create a preferred means of delivery for the planet.

Requirements

At least 8 years of experience in data science, advanced analytics, product data science, or strategic quantitative roles.
A degree in a highly quantitative field, such as Statistics or Mathematics.
Strong coding proficiency and demonstrated knowledge of data analysis libraries and packages, specifically Python and SQL.
Expertise applying advanced statistical methods, with a strong foundation in experimental design, causal inference, and rigorous A/B testing.
Familiarity with machine-learning systems and models, including predictive modeling and forecasting, and evaluating their performance at scale.
A track record of independently driving data science projects from raw data to actionable predictive solutions and delivering measurable business value.
Excellent communication and storytelling skills, including explaining complex mathematical concepts and presenting findings to product and business leadership.
An ownership mindset and ability to influence technical decisions, prioritize high-impact work, and collaborate with leadership across multiple functions.

Nice To Haves

Knowledge of R.

Responsibilities

Conduct deep-dive research and advanced analytics on complex datasets to identify patterns, interpret trends, and develop strategic business insights.
Develop measurement and evaluation frameworks, define metrics, and assess whether product features and operational changes meet quality and performance standards.
Design, train, and deploy machine-learning and predictive models to evaluate tradeoffs, forecast trends, and quantify business impact.
Apply statistical analysis, causal inference, and A/B testing to validate hypotheses, assess product deployment readiness, and measure business performance.
Explain statistical-model outputs and communicate data-driven conclusions and recommendations to non-technical senior stakeholders.
Own significant project areas, scope technical priorities, develop statistical methods, and work with cross-functional leadership on ambiguous business problems.
Develop and scale custom algorithms, automated workflows, and analytical frameworks to operationalize predictive insights and support self-serve decision-making.