6 lead data scientist jobs at 3 companies in Maple Grove, MN
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Lead Data Scientist
Minneapolis, Minnesota, United States
$100k-$170k/yrOnsiteFull Time
Royal Bank of CanadaTSX: RY: Provides personal, commercial, and investment banking services worldwide.
10+ YOEMaster's or PhD in computer science, data science, mathematics, or statistics; 10+ years of IT experience and 3+ years deploying production ML models. Requires Python, R, model evaluation, LLM, and regulated-environment experience.
Lead Data Scientist - Advanced AI (Applied ML, Agentic, Gen AI)
Brooklyn Park, Minnesota, United States
$132k-$238k/yrHybridFull Time
TargetNYSE: TGT: Operates a chain of general merchandise stores and supermarkets.
7+ YOE7+ years in data science, machine learning, applied AI, or AI/ML systems; strong Python and ML library proficiency; experience with production AI/ML, LLMs, evaluation, and enterprise data governance.
Lead Data Scientist - Advanced AI (Applied ML, Agentic, Gen AI)
Brooklyn Park, Minnesota, United States
$132k-$238k/yrHybridFull Time
TargetNYSE: TGT: General merchandise retailer operating physical stores and e-commerce.
7+ YOE7+ years in data science, machine learning, applied AI, or AI/ML systems; strong Python and ML library skills; experience developing, evaluating, and deploying production AI/ML solutions.
Lead Applied Data Scientist - Search Ranking (applied ML, LLMs, NLP)
Sunnyvale or Brooklyn Park
$132k-$286k/yrHybridFull Time
TargetNYSE: TGT: General merchandise retailer operating physical stores and e-commerce.
5+ YOEMaster's or doctoral study in a quantitative field or equivalent experience; 5+ years deploying ML algorithms; NLP/LLM expertise; Python or Java; SQL/HQL; production ML and communication skills.
Lead Applied Data Scientist - Search Ranking (applied ML, LLMs, NLP)
Sunnyvale or Brooklyn Park
$132k-$286k/yrHybridFull Time
TargetNYSE: TGT: Operates a chain of general merchandise stores and supermarkets.
5+ YOERequires PhD or MS in a relevant quantitative field or equivalent experience, 5+ years deploying ML in production, NLP/LLM/search expertise, Python or Java, SQL or HQL, and strong communication skills.