General Mills

General Mills

Sr. Data Scientist (Remote Eligible)

Minneapolis, MN · Senior · Full-time

No sponsorship$111k-$185kDetected 72 days ago
PythonSQLGCPCloud PlatformsMachine LearningData ScienceData VisualizationLLMsRAGAgentic AIStatisticsSupply ChainCommunicationCollaborationCritical Thinking

Stay score

odds of building a lasting career here

53Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role75
Entry-level history0
PERM / green-card track0
Lottery odds (Level III)83
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~45% per draw at Level III). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

Personalize to your clock →

H-1B wage level

the lottery is wage-weighted — each level is one more entry

Level II · 2×
Level I$79,8931 entry
Level II$104,4782 entries
Level III$129,0853 entries
Level IV$153,6704 entries

$18,285 more — $129,085 — moves this role to Level III and 3 lottery entries. That figure is inside the range the employer already advertised.

Based on the DOL prevailing wage for this occupation and worksite, a base salary of $129,085 would place this position at wage Level III. That figure is within the posted range, and I'd like to target it. This role classifies under "Data Scientists" for prevailing-wage purposes.

DOL prevailing wage, 2026-27 wage year · Data Scientists (15-2051) · Minneapolis-St. Paul-Bloomington, MN-WI. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.

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About the role

  • Our company is a place that prioritizes being a force for good, a place to expand learning, explore new perspectives and reimagine new possibilities, every day.
  • We look for people who want to bring their best - bold thinkers with big hearts who challenge one another and grow together.
  • Because becoming the undisputed leader in food means surrounding ourselves with people who are hungry for what's next.​

Responsibilities

  • Design & implementation of AI solutions for semi-structured data, covering problem framing, data curation, and evaluation across classification, entity extraction & summarization.
  • Develop high‑quality Agentic AI and RAG workflows, optimizing ingestion, chunking, embeddings, and vector indexing with established frameworks and stores to maximize retrieval performance.
  • Responsible for monitoring and improvement of model performance metrics and recommendations with feedback incorporated from business partners.
  • Implement appropriate generative AI techniques and technologies to solve business problems, including prompt and LLM fine-tuning, RAG, agentic workflows, and tool designs.
  • Apply critical thinking to frame business needs into statistical problems and develop solutions that balance technical completeness/complexity and timely value delivery.
  • Be a storyteller to explain the 'why and how' of your recommendations to build trust in your solutions.
  • Identify and develop long-term data science processes, frameworks, tools, and standards.
  • You will collaborate with product owners, business partners, and other Data Scientists to define the technical problem statement and the hypothesis to test.

Requirements

  • Bachelor's degree in data science, Computer Science, Engineering, Math, Statistics or other related fields
  • 6+ years of relevant experience with at least 2 years of relevant experience in Data Science.
  • Strong foundation 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 generative AI concepts, including embeddings, LLMs, agents, and RAG.
  • Experience writing complex SQL queries.
  • Number sense, ability to identify questionable data, dig in and address it.

Nice to have

  • Experience with Google Cloud Platform or similar technology.
  • Applied experience in consumer goods/supply chain
  • Master's degree in data science, Computer Science, Engineering, Math, or Statistics preferred.
  • Applicants for this position must be currently authorized to work in the United States on a full-time basis, and General Mills will not sponsor applicants for this position for work visas.
  • $110,800 - $184,800
  • As such, pay for the successful candidate(s) could fall anywhere within the stated range. ​
  • An incentive award, if any, depends on various factors, including, individual and organizational performance
  • Applicants must meet a minimum 18-year age qualification.

Compensation

  • The salary range for this position is:
  • $110,800 - $184,800
  • At General Mills we strive for each employee's pay at any point in their career to reflect their experiences performance and skills for their current role.
  • The salary range for this role represents the numerous factors considered in the hiring decisions including, but not limited to, educations, skills, work experience, certifications, etc.
  • As such, pay for the successful candidate(s) could fall anywhere within the stated range. ​
  • Beyond base salary, General Mills offers a competitive Total Rewards package focusing on your overall well-being.
  • You may also be eligible to participate in an annual incentive program.

Benefits

  • We are proud to offer a foundation of health benefits, retirement and financial wellbeing, time off programs, wellbeing support and perks.
  • Benefits may vary by role, country, region, union status, and other employment status factors.

Company info

  • SALARY RANGE The salary range for this position is: $110,800 - $184,800 At General Mills we strive for each employee's pay at any point in their career to reflect their experiences performance and skills for their current role.
  • Be a part of the team, collaborate, ask questions, engage, and solicit feedback from other Data Scientists.

Equal opportunity

  • EMPLOYER (EOE) ​
  • General Mills is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, marital or familial status, status regarding public assistance, or membership or activity in a local human rights commission.
  • If you need to request an accommodation during the application or hiring process, please fill out our online accommodation request form by following this link: Accommodation Request.
  • General Mills is an equal opportunity employer.

Visa & Work Authorization

  • Applicants for this position must be currently authorized to work in the United States on a full-time basis, and General Mills will not sponsor applicants for this position for work visas.
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This listing is sourced directly from General Mills's careers page and normalized into a canonical job model.