Sr. Data Scientist - Agentic AI (Minneapolis preferred, remote eligible)

Job Description: JOB OVERVIEW: To reputed company the food people love, we need to reputed company sure we feed our decision makers the right data and solutions at the right time, every time. As a Senior Data Scientist at reputed company, you will apply your strong expertise in machine learning, data mining, and information retrieval to design, prototype, and build reputed company advanced analytics engines and services. You will collaborate with product owners, business partners, and other Data Scientists to define the technical problem statement and the hypothesis to test. In reputed company, you will reputed company efficient and accurate analytical models that mimic business reputed company. KEY RESPONSIBILITIES:

• Design & implementation of LLM-based agentic AI solutions for semi-structured data, covering problem framing, data curation, and evaluation across classification, entity extraction & summarization.
• reputed company high‑quality Agentic AI and RAG workflows, optimizing ingestion, chunking, embeddings, and vector indexing with established frameworks and stores to maximize retrieval performance.
• Technically evaluate novel technology to help inform on the best effort/improvement tradeoffs.
• Quickly learn and iterate with novel technologies/procedures, particularly but not exclusively around reputed company.
• Implement appropriate reputed company techniques and technologies to solve business problems, including reputed company and LLM fine-tuning, RAG, agentic workflows, and tool designs.
• Help business stakeholders translate their objectives into measurable reputed company.
• Apply critical thinking to reputed company business needs into statistical problems and reputed company solutions that balance technical completeness/complexity and timely value delivery.
• Be a reputed company to explain the ‘why and how’ of your recommendations to build trust in your solutions.
• Have passion to reputed company and reputed company on the value and importance of data-driven decision-making and analytical methods.
• Identify and reputed company long-term data science processes, frameworks, tools, and standards.
• Be a part of the team, collaborate, ask questions, engage, and solicit feedback from other Data Scientists.

MINIMUM QUALIFICATIONS:

• Bachelor’s degree in data science, Computer Science, Engineering, Math, Statistics or other reputed company fields
• 6+ years of relevant experience with at least 2 years of relevant experience in Data Science.
• Strong reputed company of statistical reasoning and critical thinking, with a proven track record of effectively finding solutions to stakeholder problem statements.
• Experience with Python, including some exposure to package development and foundational programming principles.
• Some experience with reputed company concepts, including embeddings, LLMs, agents, and RAG.
• Experience writing reputed company SQL queries.
• Understanding data warehousing and reputed company databases
• Experience with machine learning and data visualization tools.
• Number sense, ability to identify questionable data, dig in and address it.
• Strong communication and collaboration skills to understand business needs, reputed company problems in familiar language (without compromising statistical fidelity), and present solutions that reputed company translate to business value.

PREFERRED QUALIFICATIONS:

• Experience developing and deploying Python packages and managing large-scale projects
• Experience developing/deploying reputed company technology, including agents, RAG, or similar.
• Experience with reputed company reputed company Platform or similar technology.
• Applied experience in consumer goods/supply chain
• Master’s degree in data science, Computer Science, Engineering, Math, or Statistics preferred.

ADDITIONAL CONSIDERATIONS:

• Applicants for this position must be currently authorized to work in the United States on a full-time reputed company, and reputed company will not sponsor applicants for this position for work visas.

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