Six Figure Work

Sr. Data Scientist (Remote Eligible)

General Mills

Company websitegeneralmills.com (General Mills, opens in new tab)

Base salary $110,800  to $184,800

Employer-published annual base salary, USD. Advertised base range in Minneapolis, MN

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  • LocationMinneapolis, MN
  • WorkplaceWorkplace not stated
  • Status at last checkSource accepting applications when checked
  • Last checked (49 min ago) · observed since

About this job

COMPANY OVERVIEW

We exist to make food the world loves. But we do more than that. 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.​




JOB OVERVIEW

To make the food people love, we need to make sure we feed our decision makers the right data and solutions at the right time, every time. As a Senior Data Scientist at General Mills, you will apply your strong expertise in machine learning, data mining, and information retrieval to design, prototype, and build next-generation 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 addition, you will develop efficient and accurate analytical models that mimic business decisions

KEY 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.

  • 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 generative AI.

  • 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.

  • Help business stakeholders translate their objectives into measurable outcomes.

  • 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.

  • Have passion to advocate and educate on the value and importance of data-driven decision-making and analytical methods.

  • Identify and develop 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 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.

  • Understanding data warehousing and complex 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, frame problems in familiar language (without compromising statistical fidelity), and present solutions that clearly translate to business value.

PREFERRED QUALIFICATIONS: 

  • Experience developing and deploying Python packages and managing large-scale projects

  • Experience developing/deploying generative AI technology, including agents, RAG, or similar.

  • 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.

ADDITIONAL CONSIDERATIONS: 

  • 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.

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. 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. 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. You may also be eligible to participate in an annual incentive program. An incentive award, if any, depends on various factors, including, individual and organizational performance




SALARY RANGE

The salary range for this position is:





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. 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. You may also be eligible to participate in an annual incentive program. An incentive award, if any, depends on various factors, including, individual and organizational performance.




ELIGIBILITY

Applicants must meet a minimum 18-year age qualification.




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.




REASONABLE ACCOMODATION REQUEST

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.

Source: General Mills on Workday · View original posting (opens in new tab)

Pay in context

This role's base floor ($110,800) is above 6% of the 3,683 Data & ML roles nationwide listed on this site; 3 others list the same floor. Their median floor is $168,100; the middle half runs from $136,999 to $200,000.

Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 7, 2026.

This range next to 6 other live General Mills roles with the nearest advertised base floor
Chart as a table
This range next to 6 other live General Mills roles with the nearest advertised base floor
RolePublished base
Sr. Data Scientist (Remote Eligible) (this listing)$110,800 - $184,800
Senior Electrical & Controls Capital Engineer - Remote Eligible$110,800 - $166,300
Sr. Controls Engineer - Wellston, OH$110,800 - $166,300
Brand Manager - Minneapolis, MN$110,800 - $184,800
Senior Controls Engineer - Cincinnati, OH$110,800 - $166,300
Tax Manager, Transfer Pricing$110,800 - $166,300
Associate R&D Principal Packaging Engineer - E-Commerce Pet$110,800 - $166,300

Same $100K to $400K scale as every card. All General Mills roles · How to read the bar

Observed changes

  1. First observed on the employer's board
  2. Began meeting the published-salary criteria
Observed since
Employer-stated posting date
2026-08-05
Where this pay comes from

Location as the employer wrote it: Minneapolis, MN

$110,800 - $184,800

Method
Employer text, read with fixed rules and re-verified
Checked
Rule set
us-base-v2

The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.

What we verified

  • The pay figures come from the employer's own listing, quoted exactly above.
  • The pay is an annual base salary in US dollars with a minimum of at least $100,000.
  • The role was publicly listed on the employer's job board when last checked.

We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.