This role pays more than
67%
of similar roles. Most pay
$155,000–$241,462
— the shaded band above.
At the midpoint, this role pays about
$224k
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 be responsible for the analytics, experimentation, and algorithmic strategy regarding bidding, pacing, budgeting, and targeting to balance value across users, advertisers, and retail partners. Your daily work involves building intelligent pacing algorithms and budget allocation systems using adaptive control and model-predictive control techniques in high-throughput production environments. You will apply causal inference, statistical modeling, and machine learning techniques to optimize ad spend distribution while collaborating with Product, Engineering, and Sales teams. The role requires expertise in ad tech systems, specifically regarding pacing and targeting. You will serve as a technical anchor, translating complex findings into actionable recommendations to improve advertiser outcomes and platform efficiency within the advertising ecosystem.
What does a Data Scientist earn in Remote?
Median $197125 from 32 postings across 19 companies.
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