Senior Data Scientist - Remote (ML & Strategic Analytics)

Wing; Palo Alto (CA); Remote; USD 169,000 - 224,000; Full time

Job summary

Wing seeks a Senior Data Scientist to join the Business and Product Analytics & Data Science team. Based in Palo Alto or remote in the US, you will lead advanced analytics, design ML models, and translate insights for executives.

Expect to drive measurement frameworks, conduct A/B tests, and scale predictive workflows that inform product and operations decisions across wingspan datasets.

Qualifications

• 8+ years of data science or quantitative roles.
• Degree in a highly quantitative field (Statistics, Mathematics, etc.).
• Strong coding proficiency with Python and SQL; R is beneficial.
• Expertise with advanced statistical methods, experimental design, and A/B testing.
• Experience with ML systems and models, and scaling them for business use.
• Proven track record delivering measurable business value.
• Excellent communication and storytelling for stakeholders.

Responsibilities

• Execute deep-dive research and analytics on complex datasets to uncover insights.
• Develop measurement frameworks and define metrics for product and ops.
• Design, train, and deploy ML models to forecast trends and quantify impact.
• Conduct rigorous statistical analyses, causal inference, and A/B testing.
• Translate model outputs into clear recommendations for senior leaders.
• Partner with cross-functional leadership to scope priorities and drive decisions.
• Scale custom algorithms and automated workflows to enable self-serve decisions.

Skills

Python

SQL

R (beneficial)

A/B testing

Statistics

Ownership

Cross-functional collaboration

8+ years experience

Education

Degree in a highly quantitative field

Tools

Python

SQL

R

Job description

Wing seeks a Senior Data Scientist to join the Business and Product Analytics & Data Science team. Based in Palo Alto or remote in the US, you will lead advanced analytics, design ML models, and translate insights for executives.

Expect to drive measurement frameworks, conduct A/B tests, and scale predictive workflows that inform product and operations decisions across wingspan datasets.