Senior Data Scientist - Advancedai (python, Genai, Ml Ops)
Target Inc
Brooklyn Park, MN, United States
$98,000.00 - $176,000.00 py
Hybrid/flex for your day (onsite and virtual)
Python
Genai
Llm-powered solutions
Target Inc is seeking a Senior Data Scientist for their AdvancedAI team in Brooklyn Park, MN. The ideal candidate will have extensive experience in developing AI applications, particularly using Python and Generative AI, and will be responsible for driving the adoption and scaling of AI technologies within the organization
Job Summary
As a Sr Data Scientist, you’ll join a Data Science team responsible for initializing and launching AI applications, developing centralized AI tools/services, and building organizational capabilities around AI.
Working closely with a team of engineers, you’ll drive optimal scaling and adoption of AI applications, which includes designing and developing scalable AI system architectures, including continuous monitoring and evaluation mechanisms.
Target offers eligible team members and their dependents comprehensive health benefits and programs, which may include medical, vision, dental, life insurance and more, to help you and your family take care of your whole selves.
Matching Summary
Match Score: 85
Target Inc is seeking a Senior Data Scientist for their AdvancedAI team in Brooklyn Park, MN. The ideal candidate will have extensive experience in developing AI applications, particularly using Python and Generative AI, and will be responsible for driving the adoption and scaling of AI technologies within the organization.
Salary
$98,000.00 - $176,000.00
Skills & Requirements
Must-have
Python
GenAI
LLM-powered solutions
Agentic workflows
Machine Learning / Deep Learning models
SQL
Hadoop (Hive/Spark)
Nice-to-have
Agile principles
Best-practice software design
Code reviews
Maintainable and well-tested codebase
Training sessions
Presentations to technical and non-technical peers
Key Requirements
4-year degree in quantitative disciplines or equivalent experience
3+ years of experience in end to end, applied data sciences at scale
Hands on experience with developing GenAI-based systems