This role pays less than
94%
of similar roles. Most pay
$187,850–$254,750
— the shaded band above.
At the midpoint, this role pays about
$137k
versus about
$221k
for comparable roles.
Based on 240 similar postings.
Employer
About Target
Target Corporation is a large-format general merchandise and grocery retailer offering a wide assortment of everyday essentials, apparel, home goods, and electronics through stores and online. Industry: General Merchandise Retail
Target currently has
60 open roles
on FindRole.
Listed pay typically runs
$98,000–$176,000
across 50 roles with salary data.
As a Sr Applied Data Scientist - Personalization (applied ML, PyTorch, RecSys), you will join the Target Data Science Recommendations team to build and augment AI-driven digital recommendation products. Working alongside data scientists, machine learning engineers, and product managers, you will perform data exploration, implement algorithmic solutions, and push models into production environments while ensuring code quality through peer reviews and documentation. You will utilize PyTorch or JAX for deep learning, along with Python, SQL, and Spark for large-scale data processing. The role requires expertise in linear algebra, probability theory, statistics, and optimization to solve complex problems in recommendation, personalization, search, ranking, and retrieval systems. You will translate business needs into scalable solutions, utilizing generative AI tools to accelerate development while evaluating model performance through both offline analysis on large datasets and online experimentation.
Machine Learning
Deep Learning
PyTorch
JAX
Python
SQL
Spark
Generative AI
Search
Ranking
Retrieval
Optimization
Statistics
Probability Theory
Linear Algebra
Agile
Experimental Design
Data Processing
Transformers
LLMs
Reinforcement Learning
Python
PyTorch
TensorFlow
SQL
AWS
Relational Databases
Sequence Modeling
Multi-modal Learning
Distributed Training
Big Data
Scala
R
Deep Learning