Sr Applied Data Scientist - Search and Browse (Applied ML, NLP, LLMs)
At a glance
AI generatedTL;DR
As a Senior Data Scientist on Target’s Search and Browse team, you will develop and deploy scalable machine learning models for search ranking, browse personalization, semantic retrieval, and query understanding systems. You’ll design experiments to enhance relevance, engagement, and customer satisfaction while building feature pipelines and evaluation frameworks for production systems. Utilizing modern techniques like embeddings, transformers, and NLP, you will improve catalog and long-tail search relevance across massive retail catalogs. Collaborating closely with Product, Engineering, and Infrastructure teams, you will balance model quality with latency and scalability requirements in large-scale production environments. The role requires a PhD or MS in Computer Science, Statistics, Applied Mathematics, Physics, or related fields, along with 3+ years of industry experience in machine learning, data science, search, NLP, or personalization systems. Strong coding skills in Python and SQL, hands-on experience with distributed data processing ecosystems, and expertise in retrieval/ranking systems are essential.
Skills
What you'll do
- Develop and deploy scalable ML models for search ranking, browse personalization, and semantic retrieval.
- Design and execute experiments to enhance relevance, engagement, conversion, and customer satisfaction.
- Build feature pipelines, evaluation frameworks, and workflows for production systems in Search and Browse.
- Apply modern ML techniques including embeddings, transformers, NLP, vector search, and GenAI/RAG systems.
- Improve query understanding, catalog understanding, semantic retrieval, and long-tail search relevance across large catalogs.
What we're looking for
- PhD or MS in Computer Science, Statistics, Applied Mathematics, Physics, or related quantitative discipline.
- 3+ years of industry experience in Machine Learning, Data Science, Search, NLP, Personalization, or related ML systems.
- Strong coding skills in Python and SQL with experience in distributed data processing ecosystems.
- Demonstrated hands-on experience building and deploying production ML systems at scale.
- Experience with modern ML approaches such as embeddings, transformers, semantic retrieval, RAG systems, or GenAI technologies.
- Ability to design experiments and interpret online/offline metrics for system improvements.
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 45 open roles on FindRole.
Listed pay typically runs $98,000–$176,000 across 45 roles with salary data.
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