This role pays more than
57%
of similar roles. Most pay
$155,075–$241,462
— the shaded band above.
At the midpoint, this role pays about
$197k
versus about
$198k
for comparable roles.
Based on 240 similar postings.
Employer
About Instacart
Instacart (Maplebear Inc.) is a North American grocery technology company that operates an online marketplace and delivery service connecting customers with personal shoppers who pick and deliver orders from local retailers. It also sells retail e-commerce software and advertising services to grocers and brands.
Instacart currently has
54 open roles
on FindRole.
Listed pay typically runs
$196,000–$207,000
across 54 roles with salary data.
As a Senior Data Scientist II - Ads Optimization, you will join the Ads Optimization team to manage the decision-making engine of the company's advertising business. You will drive analytics, experimentation, and algorithmic strategy for bidding, pacing, budgeting, and targeting systems that convert advertiser goals into real-time outcomes. Your daily work involves building intelligent pacing algorithms using adaptive control and model-predictive control techniques in high-throughput production environments. You will lead end-to-end experimentation, apply causal inference and statistical modeling to optimize ad spend distribution, and translate complex technical findings for leadership. The role requires expertise in data science, product analysis, and machine learning to solve problems regarding how value is distributed across the platform. Key skills include experience with budget-constrained allocation methods and a proven track record of shipping optimization systems into production environments within the ad tech space.
What does a Data Scientist earn in California?
Median $213878 from 88 postings across 32 companies.
Data Science
Machine Learning
Causal Inference
Statistical Modeling
Adaptive Control
model-predictive control
Production Systems
Analytics
Budget Allocation
Control Theory
Constrained Optimization
Auction Theory
Mechanism Design
Dynamic Programming
Go
Java
C++
Python
Causal Inference
Experimental Design
Real-time Bidding
Data Analysis
Machine Learning
Reinforcement Learning
Python
Java
Spark
Hadoop
Optimization Algorithms
Design of Experiments
Statistics
Control Theory
Forecasting
Agile
Production Code