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About The Position

Requirements

• Bachelor’s degree in Computer Science, Statistics, Applied Math, Operations Research, Economics, or a related quantitative field, or equivalent practical experience.
• 5+ years of experience using data to solve complex business problems in a professional environment.
• Strong proficiency in SQL and Python, or comparable programming experience, with experience using tools such as Tableau and Databricks.
• Experience designing, running, and interpreting experiments, with a strong foundation in statistical analysis and testing methodologies.
• Strong business acumen and product sense, with the ability to connect business goals to practical, data-driven recommendations.
• Excellent communication skills and experience working cross-functionally with partners across engineering, product, and marketing.
• Ability to solve problems efficiently, prioritize high-impact work, and adapt in a fast-moving environment.

Nice To Haves

• Broad data science experience spanning exploratory analysis through advanced modeling; experience with machine learning, dbt, marketing attribution, MMM, or AI tools is a plus.
• Value the experience and perspective of candidates with non-traditional backgrounds. Encourage to apply if you have transferable skills or related experiences.

Responsibilities

• Lead end-to-end experimentation for the marketing team, including A/B test design, analysis, and interpretation of results.
• Drive measurement approaches that improve marketing effectiveness, including marketing mix modeling and related performance analyses.
• Translate customer insights, metrics, and analytical findings into clear recommendations for technical and non-technical partners.
• Identify complex business problems, frame them clearly, and partner across teams to deliver scalable, data-informed solutions.
• Build reusable analytical frameworks, including simulations and causal inference approaches, to support broader team decision-making.
• Create dashboards and reporting in tools such as Tableau and Databricks to improve visibility into performance and opportunities.
• Partner with engineering to improve data quality, strengthen data collection, and build transformation pipelines using tools such as dbt.
• Mentor junior team members and champion data-informed decision-making across the organization.

Benefits

• equity awards based on factors such as experience, performance and location
• Employees in this role will not be paid below the salary threshold for exempt employees in the state where they reside.