Lead Applied Data Scientist - Search Ranking (applied ML, LLMs, NLP)

Target Brands, Inc.
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Tech stack

Java
Agile Methodologies
Artificial Intelligence
Data analysis
Big Data
Content Analysis
Information Retrieval
Python
Machine Learning
Recommender Systems
SQL Databases
Test Driven Development
Large Language Models
Deep Learning
Indexer
Information Technology
Machine Learning Operations
Software Coding
Data Pipelines

Job description

Experteer Overview As a Lead Data Scientist in Target's Search and Browse team, you drive the design and deployment of predictive AI to power a high-quality retail search experience. You will work with cross-functional partners to solve business problems at scale, shaping data-driven products and AI pipelines. You'll experiment with cutting-edge ML, NLP, and LLM techniques to improve search relevance and user experience. This role offers mentorship, collaboration, and the chance to influence Target's digital ecosystem at scale. Compensation / Benefits * Develop and deploy scalable deep learning models to improve search quality * Leverage LLMs and agentic technologies to enhance ecommerce search * Architect large-scale AI systems with test-driven development * Build NLP capabilities for query/document analysis and understanding * Create data pipelines for feature/label extraction and generation * Analyze data to identify opportunities and improve models * Conduct research to advance ML, LLM, and NLP technologies * Operate and improve AI pipelines and infrastructure * Adopt Target's platforms and operationalize tools and systems * Mentor engineers to deliver business-focused software * Collaborate with product and business teams to define and scope solutions * Follow agile methodologies and document technical work * Maintain cutting-edge systems and technologies Tasks * PhD or MS in Computer Science, Applied Mathematics, Statistics, Physics or equivalent * Research or industry experience in search indexing, information retrieval or ranking * Experience with NLP, LLMs, agentic systems or large-scale recommendation systems * 5+ years deploying machine learning algorithms into production with strong ML Ops * Proficiency in Python or Java with strong coding skills * Hands-on modeling experience using Python * Experience deploying ML models in production in high-traffic environments * Experience querying large databases with SQL, HQL, or equivalents * Exceptional interpersonal and communication skills for global collaboration * Self-driven, results-oriented with strong ownership and judgment * Collaborative team player focused on continuous learning and reliable AI systems Key requirements * comprehensive health benefits * 401(k) * employee discount * short-term disability * paid sick leave * paid vacation

Requirements

ML, LLM, and NLP technologies * Operate and improve AI pipelines and infrastructure * Adopt Target's platforms and operationalize tools and systems * Mentor engineers to deliver business-focused software * Collaborate with product and business teams to define and scope solutions * Follow agile methodologies and document technical work * Maintain cutting-edge systems and technologies Tasks * PhD or MS in Computer Science, Applied Mathematics, Statistics, Physics or equivalent * Research or industry experience in search indexing, information retrieval or ranking * Experience with NLP, LLMs, agentic systems or large-scale recommendation systems * 5+ years deploying machine learning algorithms into production with strong ML Ops * Proficiency in Python or Java with strong coding skills * Hands-on modeling experience using Python * Experience deploying ML models in production in high-traffic environments * Experience querying large databases with SQL, HQL, or equivalents * Exceptional aaa pipelines. and communication skills for global collaboration * Self-driven, results-oriented with strong ownership and judgment * Collaborative team player focused on continuous learning and reliable AI systems Key requirements * comprehensive health benefits * 401(k) * employee discount * short-term disability * paid sick leave * paid vacation

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