Data Scientist, Marketing Measurement

Responsibilities

• Guide incrementality measurement across marketing channels, partnering with analysts on test design and interpretation to determine the actual impact of each channel.
• Apply causal inference methods when controlled testing is not feasible to support evidence-based budget decisions.
• Build and maintain attribution approaches that distribute credit across direct mail, digital marketing, partnerships, and email, including channels where borrowers do not click.
• Translate measurement results into marketing spend allocation recommendations used by marketing and finance teams.
• Use marketing mix models alongside experiments and attribution methods, evaluating conflicting results and determining which evidence is most reliable.
• Automate recurring measurement reports to focus more time on analysis, interpretation, and recommendations.
• Mentor analysts across the team and review their measurement work.
• Communicate findings and recommendations to technical and non-technical stakeholders.
• Independently scope projects and lead them from planning through delivery in ambiguous situations.

Requirements

• 8+ years of experience in data science or a related quantitative role, with significant experience measuring marketing or growth investments.
• Hands-on experience designing and analyzing incrementality tests.
• Strong understanding of causal inference methods beyond standard A/B testing.
• Working knowledge of marketing mix modeling and multi-touch attribution, including their limitations.
• Strong proficiency in Python and SQL.
• Demonstrated experience delivering measurement insights that have influenced marketing budget decisions.
• Ability to communicate complex findings clearly to technical and non-technical audiences.
• Sound judgment in evaluating the strength of evidence and determining when results are reliable enough to guide business decisions.
• Ability to work independently, manage projects, and deliver results in ambiguous situations.
• Strong collaboration skills and the confidence to challenge recommendations when the available evidence does not support them.

Preferred

• Master's or PhD degree in Statistics, Economics, Computer Science, or another quantitative field.
• Familiarity with AI tools that support faster analysis and reporting.

Benefits

• Target bonuses and equity compensation.
• Annual equity grants that vest quarterly.
• 401(k) or Group Retirement Savings Plan with a company match of $2 for every $1 contributed, up to $15,000 annually.
• Employee Stock Purchase Plan with discounted stock purchase options for eligible US employees.
• Medical, dental, vision, and wellness coverage in the United States, with supplemental health coverage in Canada.
• Health Savings Account contributions for eligible US plans.
• Life insurance and disability coverage.
• Paid time off, sick leave, and company holidays in accordance with local requirements.
• Paid family and parental leave, with duration varying by country.
• Family-centered benefits supporting fertility, parenthood, and caregiving.