Senior Data Scientist II - Ads Optimization
Drive analytics and algorithmic strategy for Instacart's $1B+ ads business as a Senior Data Scientist II.
Posted by employer 1 day ago
First seen on Joblaze 1 day ago
Last verified on the company career page 1 day ago
Skills & Technologies
What you'll build
- Own the analytics and experimentation strategy for pacing and targeting
- Design and build intelligent pacing algorithms
- Lead end-to-end experimentation across optimization systems
- Apply causal inference and statistical modeling to optimize ad spend
- Present findings and recommendations to leadership
Must have
- Proven experience in ads optimization at an ad tech company
- Strong data science foundation
- Experience shipping optimization systems into production
- Excellent communication skills
- 6+ years of work experience in a data science or related field
Nice to have
- Experience collaborating with an ads product or sales team
- Background in budget-constrained allocation methods
Requirements
- Experience
- 6+ years
Not disclosed in this posting: visa sponsorship.
Benefits
Joblaze summary
In the role of Senior Data Scientist II on Instacart's Ads Optimization team, the individual will focus on analytics and experimentation to enhance ad performance and platform efficiency. Key skills include a strong foundation in data science, particularly in causal inference and statistical modeling, along with experience in deploying optimization systems in production. This position is suited for someone with over six years of experience in ad tech, particularly in pacing and budget allocation, who can effectively communicate complex findings to stakeholders. The team operates in a flexible work environment, emphasizing collaboration across product and engineering.
Joblaze insights
- Listed yesterday — first seen on Joblaze September 29, 2026. Last confirmed on Instacart's careers page September 29, 2026.
- This exact title is also open at 1 other location at Instacart: Canada.
- Salary band is in line with the typical range for Data Science roles (median ~$170,000).
- Starts above 53% of 17 comparable senior data science roles in United States that list Machine Learning we track (median $180,370 across 11 companies). See Machine Learning salary trends
- Machine Learning appears in 19.5% of 113 comparable senior data science roles in United States; causal inference appears in 7.1% of 113 comparable senior data science roles in United States.
Quick facts
- Is the Senior Data Scientist II - Ads Optimization role remote?
- Yes — Instacart lists this as a fully remote position.
- What's the salary range?
- Instacart lists $182,000–$230,000 for this role.
- How much experience is required?
- At least 6 years of relevant experience for this Senior Data Scientist II - Ads Optimization role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: A/B Testing, Data Science, Machine Learning, Statistical Modeling, causal inference.
- What seniority level is this role?
- Instacart targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Senior Data Scientist II - Ads Optimization role at Instacart.
From the original posting
We're transforming the grocery industry
Overview
Instacart's Ads Optimization team is the decision-making engine of our $1B+ ads business. We own the systems responsible for bidding, pacing, budgeting, targeting, and additional optimization layers that convert advertiser goals into real-time outcomes — all while balancing value across users, advertisers, retail partners, and Instacart. As a Senior Data Scientist on this team, you will drive the analytics, experimentation, and algorithmic strategy that determines how our ad supply and demand meet, and how value and surplus are created and distributed across the platform.
In this role, you will operate at the intersection of data science, economics, and production systems, partnering closely with Product, Engineering, and Machine Learning to build and ship solutions that directly impact Instacart's revenue and advertiser outcomes. Your work will touch the full research-to-production loop — from problem framing and modeling to experimentation, measurement, and iteration in live systems.
About the Job
- 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
About You
Minimum Qualifications
- 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
- Strong data science foundation: product and data analysis, A/B experimentation, causal inference, and statistical modeling
- Experience shipping optimization systems into production — not just research, but real measurement and iteration in live environments
- Excellent communication skills, with the ability to synthesize complex technical findings for senior business and engineering stakeholders
- 6+ years of work experience in a data science or related field
Preferred Qualifications
- Experience collaborating directly with an ads product or sales team, or with advertisers, to shape product and algorithmic priorities
- Background in budget-constrained allocation methods, adaptive control, or model-predictive control in production systems
#LI-Remote
Instacart provides highly market-competitive compensation and benefits in each location where our employees work. This role is remote and the base pay range for a successful candidate is dependent on their permanent work location. Please review our Flex First remote work policy here.
Offers may vary based on many factors, such as candidate experience and skills required for the role. Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants. Please read more about our benefits offerings here.
For US based candidates, the base pay ranges for a successful candidate are listed below.
Standard company text repeated across Instacart's postings is omitted here.