Measurement Science Manager II
Instacart- Base salary
- $131k–$166k Published base salary range
- Location
- Remote - United States Remote eligibility
- Employment
- Full-time Mid-level
About the job
About the Role
We are looking for an experienced analytics professional specialized in advanced experimentation and attribution modeling to join our Measurement Science Team in Media Analytics. You will develop sophisticated measurement solutions that demonstrate the effectiveness of advertising on the Instacart platform, working with multi-retailer 1st party deterministic data to provide causal understanding of advertising impact on consumer behavior. You will represent Instacart’s measurement capabilities both internally and externally to leading CPG brands and agency partners.
About the Team
The Measurement Science Team is our advertiser-facing team that uses experimentation and custom analytics to help advertisers understand the effectiveness of their advertising spend. It is part of the broader Media Analytics organization.
About the Job
- Design and execute advanced experiments that prove advertising value and optimize campaigns.
- Analyze experiment data to produce nuanced recommendations for improving ad performance and measurement outcomes.
- Tailor measurement approaches to meet stakeholder needs by developing innovative metrics and data visualizations.
- Proactively partner with stakeholders to shape media measurement strategies and address complex challenges.
- Present experimental findings and other data-driven insights with an executive presence to senior clients.
- Lead discussions, trainings, and Q&A sessions as a thought leader on ad measurement and experimentation.
- Identify strategic opportunities, including client upsell potential or internal operational improvement needs.
- Develop customized analytical solutions, including code, dashboards, and self-service tools.
- Apply AI across your work to raise quality and move faster, using tools like Claude and Cursor.
Minimum Qualifications
- Bachelor’s Degree in a quantitative field such as Engineering, Mathematics/Statistics, Finance, Economics, Business.
- 6+ years of experience in data and measurement or consulting fields with demonstrated expertise in statistical data analytics.
- 3+ years of relevant experience within advertising efficacy, media/marketing measurement, and experimentation.
- Advanced expertise in experimentation techniques, including A/B testing, holdout designs, and incrementality measurement.
- Strong data storytelling and advanced visualization skills using tools like Tableau or Mode.
- Experience developing self-service tools and dashboards for stakeholders.
- Strong SQL skills and proficiency in statistical programming (Python/R) to create and validate custom analytical solutions.
- Track record of turning analytics insights into strategic recommendations that drive business outcomes.
Preferred Qualifications
- 4+ years of conducting and presenting lift measurement studies to clients.
- Experience directing sales teams in an analytic/quantitative capacity.
- Advanced knowledge of statistical techniques including marketing mix modeling, Bayesian analysis, and causal inference.
- Ability to automate processes using AI-driven tools and workflows.
- Technical expertise in advanced experimental methodologies including A/A testing, SRM detection, and statistical techniques that ensure measurement validity and reliability.
- Comprehensive knowledge of ad auction mechanics, targeting algorithms, and attribution models.
Compensation
Base pay ranges for US based candidates: CA, NY, CT, NJ: $157,000—$165,500; WA: $150,000—$158,500; OR, DE, ME, MA, MD, NH, RI, VT, DC, PA, VA, CO, TX, IL, HI: $144,000—$152,000; All other states: $131,000—$138,000. Eligible for new hire equity grant and annual refresh grants.
Compare the essentials before you leave: pay, remote scope, employment type, source, and the employer apply destination.