I
Instacart
Senior Data Scientist (Ads Optimization)
Skills
Data ScienceData AnalysisMachine Learning
24 days ago
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Important information
Contract type:
Permanent
Salary:
$182,000 – $230,000 / year
Location:
Remote, OR 97458, USA
Work mode:
Onsite
Published on:
2 October 2026
What they need
- Own the analytics and experimentation strategy for pacing, targeting, and related optimization areas, driving measurable improvements in advertiser outcomes and platform efficiency
- Design and build intelligent pacing algorithms and budget allocation systems grounded in adaptive control and model-predictive control techniques, deployed in high-throughput production environments
- Lead end-to-end experimentation across optimization systems — designing experiment frameworks, diagnosing complex or conflicting signals, and translating results into clear, actionable recommendations for Product and Engineering leadership
- Apply causal inference, statistical modeling, and ML techniques to optimize how ad spend is distributed across time and auction opportunities, balancing user experience, advertiser goals, and platform revenue
- Present findings and strategic recommendations to leadership across Product, Engineering, and Data Science
- Serve as a thought leader and technical anchor in the Ads Optimization space, setting the analytical standard and mentoring peers across the team
- Collaborate with the Ads Product and Sales teams to gather advertiser feedback and inform optimization priorities- Experience shipping optimization systems into production — not just research, but real measurement and iteration in live environments
- Strong data science foundation: product and data analysis, A/B experimentation, causal inference, and statistical modeling
- 6+ years of work experience in a data science or related field
- Excellent communication skills, with the ability to synthesize complex technical findings for senior business and engineering stakeholders
- Proven experience in ads optimization at an ad tech company (e.g., Google, Meta, Amazon, TikTok, or equivalent), with hands-on work in pacing, targeting, budget allocation, or related systems
- Background in budget-constrained allocation methods, adaptive control, or model-predictive control in production systems
- Experience collaborating directly with an ads product or sales team, or with advertisers, to shape product and algorithmic priorities
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