Research Scientist, Marketing Insights and Analytics Research Scientist, Marketing Insights and Analytics

About the Role

Key Responsibilities

• Advocate for MMM's role in budget allocation and campaign optimization.
• Ensure methodological rigor in vendor-led research, reviewing experimental design, statistical approaches, and validity of findings.
• Expand marketing data science capabilities, including developing and refining methodologies for incrementality measurement, budget optimization, and forecasting.
• Build predictive models for scenario planning and strategic marketing investment decisions.
• Influence cross-functional stakeholders (marketing, insights, product, engineering), driving alignment on data-driven marketing strategy.
• Advance causal inference methodologies in marketing measurement, including behavior and conversion lift studies (A/B testing with CUPED & DiD).
• Conduct meta-analyses to assess holistic A/B testing impact and drive strategic recommendations.
• Enhance automation and reporting by maintaining data pipelines, dashboards, and self-serve tools to streamline marketing analytics.

Requirements

• Master's degree in a quantitative discipline such as Statistics, Mathematics, Computer Science, Engineering, Economics, or a related field.
• 5+ years in data science roles within business strategy, marketing, finance, engineering, or analytics organizations.
• Strong programming skills in SQL and either Python or R, with experience in data querying, manipulation, and advanced statistical analysis.
• Experience with experimental design methodologies, including A/B testing and causal inference techniques.
• Proven ability to effectively communicate complex data insights to both technical and non-technical audiences.
• Demonstrated ability to lead complex projects, manage stakeholder relationships, and influence decision-making processes without formal authority.

Nice to Have

• Ph.D. in a quantitative discipline such as Statistics, Mathematics, Computer Science, Engineering, Economics, or a related field.
• Strong background in Marketing Mix Modeling (MMM), causal inference (e.g., DiD, Synthetic Control, Instrumental Variables), and experimental design beyond standard A/B testing (e.g., CUPED, meta-analysis, Bayesian methods).
• Experience designing and analyzing geo-testing, creative testing, and incrementality experiments to measure marketing effectiveness and inform budget allocation.
• Proven ability to work with marketing, product, engineering, and operations teams, translating complex statistical insights into actionable business strategies.

Qualifications

• Master's degree in a relevant quantitative discipline.
• 5+ years of experience in data science roles related to marketing or analytics.

Benefits & Perks

• Competitive base salary ranging from $176,356 to $329,334 annually, with potential bonuses and stock options.
• Comprehensive health benefits including medical, dental, and vision insurance from day one.
• 401(k) savings plan with company match.
• Paid parental leave and fertility treatment coverage with a $20,000 lifetime maximum.
• Paid holidays, sick days, and personal time.
• Wellbeing benefits including short-term counseling through EAP and Headspace subscription.
• Work environment supporting hybrid work arrangements.