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Data Scientist - Gen AI
Job in
Minneapolis, Hennepin County, Minnesota, 55400, USA
Listed on 2026-02-16
Listing for:
Horizontal Talent
Full Time
position Listed on 2026-02-16
Job specializations:
-
IT/Tech
Machine Learning/ ML Engineer, AI Engineer
Job Description & How to Apply Below
Overview
We are seeking an experienced Data Scientist with a strong background in GenAI to join our innovative team. This role offers an exciting opportunity to contribute to the development of cutting-edge services and infrastructure that empower designers to leverage emerging trend data effectively.
Responsibilities- Develop and implement GenAI services to enhance the design process for owned brands.
- Collaborate with cross-functional teams to ensure seamless integration of systems and data.
- Analyze and interpret complex datasets to support design decisions and strategies.
- Participate in code reviews and contribute to the development of best practices within the team.
- Utilize Python and relevant libraries to build and optimize data processing pipelines.
- Communicate findings and insights effectively to stakeholders across the organization.
- 7+ years of relevant experience in data science, development, or research roles.
- Proficient in Python and familiar with machine learning libraries and frameworks.
- Strong understanding of mathematical and statistical principles in machine learning.
- Experience with multi-modal RAG and traditional image processing techniques.
- Ability to collaborate across teams and navigate complex business environments.
- Familiarity with Agile methodologies and software development life cycle practices.
- Experience in processing, parsing, and analyzing complex documents.
- Knowledge of emerging trends in GenAI and their applications in business contexts.
We are committed to fostering a diverse, equitable, and inclusive workplace where all individuals feel valued and empowered to contribute their unique perspectives and experiences.
Pay range:
The pay range for this role is $62 - $100 per hour. This is not a guarantee of compensation, as final offer amount may vary based on experience and geographic location.
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