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Salaried Rag Jobs in Minnesota (NOW HIRING)

Senior Data Scientist

Minneapolis, MN · On-site +1

$105K - $150K/yr

Generative AI & LLMs - experience building applications with LLMs, prompt engineering, RAG ... Starting Salary: $105,000, - $150,000 *Note actual salary is based on geographic location ...

Senior Software Engineer

Eden Prairie, MN · On-site

$124K - $164K/yr

Develop and deploy LLM capabilities: prompt design, fine-tuning, RAG pipelines, vector indexing ... In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive ...

Senior Software Engineer

Eden Prairie, MN · Remote

$124K - $164K/yr

Develop and deploy LLM capabilities: prompt design, fine-tuning, RAG pipelines, vector indexing ... In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive ...

Perform wiping duties on the finishing line using wiping rag. * Perform loading/unloading duties as ... salary increases, benefits, termination and all other terms and conditions of employment) based on ...

Minneapolis, MN Salary: $170,000.00 USD Annually - $175,000.00 USD Annually Description: Cloud Data ... Implement retrieval-augmented generation (RAG) pipelines with memory, context management, and tool ...

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Salaried Rag information

What is the difference between Salaried Rag vs Salaried Technician?

AspectSalaried RagSalaried Technician
Required CredentialsHigh school diploma or equivalent, specialized trainingHigh school diploma, technical certification or associate degree
Work EnvironmentOffice or field-based, depending on industryIndustrial, manufacturing, or technical settings
Employer & Industry UsageMedia, printing, or creative industriesManufacturing, maintenance, or technical services
Common Search & ComparisonYesYes

The comparison shows that Salaried Rag and Salaried Technician share similar credential requirements and are used in related industries. Salaried Rag typically refers to roles in media or creative fields, while Salaried Technician is common in technical and industrial sectors. Both roles involve specialized skills and are salaried positions, but their work environments and industry applications differ.

What are the most commonly searched types of Rag jobs in Minnesota? The most popular types of Rag jobs in Minnesota are:
What are popular job titles related to Salaried Rag jobs in Minnesota? For Salaried Rag jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Salaried Rag jobs in Minnesota look for? The top searched job categories for Salaried Rag jobs in Minnesota are:
What cities in Minnesota are hiring for Salaried Rag jobs? Cities in Minnesota with the most Salaried Rag job openings:
Sr. Data Scientist - Agentic AI (Minneapolis preferred, remote eligible)

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

General Mills

Minneapolis, MN • On-site, Remote

$108K - $181K/yr

Full-time

Medical, Retirement

Posted 11 days ago


General Mills rating

8.1

Company rating: 8.1 out of 10

Based on 107 frontline employees who took The Breakroom Quiz

65th of 380 rated food and drinks producers


Job description

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 LLM-based agentic AI solutions for semi-structured data, covering problem framing, data curation, and evaluation across classification, entity extraction & summarization.
  • Develop highquality 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.
  • 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 $108900.00 - $181700.00 / Annually. 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.

Reasonable Accommodation Request
If you need to request an accommodation during the application or hiring process, please fill out our online accommodations request form by following this link: Accommodations Request. Qualifications:UNAVAILABLEEducation:UNAVAILABLEEmployment Type: FULL_TIME


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About General Mills

Sourced by ZipRecruiter

General Mills, Inc. manufactures some of the most beloved foods in the world, including Cheerios and Lucky Charms, Nature Valley granola bars, Totino's pizza rolls, and Yoplait yogurt. Blue Buffalo became part of General Mills in 2018, so even your pets love us too.

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

Minneapolis, MN, US

Year founded

1928