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Remote Data Curation Jobs in Minnesota (NOW HIRING)

By curating a Network of Excellence comprised of the nation's top specialists for surgery, cancer ... This is a remote-first role with occasional (~1x month) travel. Responsibilities and Duties:

By curating a Network of Excellence comprised of the nation's top specialists for surgery, cancer ... This is a remote-first role with occasional (~1x month) travel. Responsibilities and Duties:

By curating a Network of Excellence comprised of the nation's top specialists for surgery, cancer ... This is a remote-first role with occasional (~1x month) travel. Responsibilities and Duties:

By curating a Network of Excellence comprised of the nation's top specialists for surgery, cancer ... This is a remote-first role with occasional (~1x month) travel. Responsibilities and Duties:

By curating a Network of Excellence comprised of the nation's top specialists for surgery, cancer ... This is a remote-first role with occasional (~1x month) travel. Responsibilities and Duties:

Remote Data Curation information

What is remote data curation?

Remote data curation involves organizing, managing, and maintaining data sets from a remote location, ensuring their accuracy, quality, and usability for various purposes. Data curators work with digital information, often cleaning, annotating, and structuring data to make it more accessible and valuable for organizations or research. This role can include tasks like verifying data integrity, standardizing formats, and documenting metadata, all performed using online tools and collaboration platforms. Remote data curation allows professionals to work from anywhere, supporting projects in fields such as science, business, or technology.

What are some common challenges faced in a remote data curation role, and how can they be addressed?

One common challenge in remote data curation is ensuring consistent data quality and integrity across distributed teams. Without in-person collaboration, communication gaps can arise, making it important to use clear documentation practices and regular virtual check-ins. Additionally, remote curators often need to be proactive in seeking clarification and feedback to avoid misinterpretation of data standards. Leveraging collaborative tools and maintaining open communication channels can significantly help in overcoming these hurdles and maintaining workflow efficiency.

What is the difference between Remote Data Curation vs Remote Data Entry?

AspectRemote Data CurationRemote Data Entry
Primary FocusAnalyzing, organizing, and maintaining data quality and relevanceInputting and updating data into systems
Required SkillsData analysis, critical thinking, attention to detailTyping accuracy, basic computer skills
Work EnvironmentCollaborative, often involves research and validationIndividual, repetitive tasks
Common CertificationsData management, database certificationsNone typically required

Remote Data Curation involves managing and improving data quality through analysis and organization, while Remote Data Entry focuses on inputting data accurately into systems. Both roles require attention to detail, but data curation demands analytical skills and a deeper understanding of data relevance, making it more complex and strategic compared to the straightforward nature of data entry tasks.

What are the key skills and qualifications needed to thrive as a Remote Data Curator, and why are they important?

To thrive as a Remote Data Curator, you need strong analytical abilities, attention to detail, and a background in information science, data management, or a related field. Familiarity with database systems, data cleaning tools (such as OpenRefine), and metadata standards is typically required, along with experience using collaborative platforms. Excellent communication, organizational skills, and the ability to work independently are crucial soft skills in this remote role. These skills ensure the accuracy, accessibility, and integrity of large datasets, supporting effective data-driven decision-making for organizations.
What are the most commonly searched types of Data Curation jobs in Minnesota? The most popular types of Data Curation jobs in Minnesota are:
What cities in Minnesota are hiring for Remote Data Curation jobs? Cities in Minnesota with the most Remote Data Curation job openings:
Infographic showing various Remote Data Curation job openings in Minnesota as of June 2026, with employment types broken down into 2% As Needed, 82% Full Time, 9% Part Time, and 7% Contract. Highlights an 82% Physical, 4% Hybrid, and 14% Remote job distribution.
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

This job post has expired today. Applications are no longer accepted.


General Mills rating

8.1

Company rating: 8.1 out of 10

Based on 107 frontline employees who took The Breakroom Quiz

65th of 381 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