below marketmost similar roles pay hereabove market
This role pays less than
80%
of similar roles. Most pay
$170,462–$248,375
— the blue band above.
At the midpoint, this role pays about
$164k
versus about
$209k
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
92 open roles
on FindRole.
Listed pay typically runs
$98,000–$176,000
across 67 roles with salary data.
The Sr Applied Data Scientist - Search and Browse (applied ML, LLMs, ML Ops) joins the Applied Data Sciences team to build core relevance, retrieval, ranking, and personalization systems for digital experiences. You will develop and deploy scalable ML models for search ranking, browse personalization, and query understanding while designing offline and online experiments to improve engagement and conversion. Key responsibilities include building scalable feature pipelines, evaluation frameworks, and ML workflows for production systems. You will utilize Python, SQL, and distributed data processing ecosystems to implement embeddings, transformers, NLP, vector search, and GenAI/RAG systems. The role addresses large-scale search challenges, including natural language, long-tail search, and zero-shot item understanding, while balancing model quality with strict latency, scalability, and reliability requirements across massive retail catalogs.
Python
SQL
Machine Learning
NLP
LLMs
RAG
GenAI
Transformers
Vector Search
Semantic Retrieval
Distributed Data Processing
Embeddings
Production ML Systems
Generative AI
Machine Learning
Natural Language Processing
Large Language Models
Python
SQL
LangChain
DSPy
MLOps
Data Science
Multi-objective Optimization
Real-World Data
Data Visualization
Business Intelligence
Database Management