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Remote Scientific Data Curator Jobs in Minnesota

General Mills

Senior Data Scientist

Minneapolis, MN · On-site +1

$110K - $184K/yr

Work across semi-structured data use cases, including problem framing, data curation, model ... International relocation and international remote working arrangements outside of the United States ...

Dlapiper

Data Scientist

Minneapolis, MN · On-site +1

Prioritizes, scopes and manages data science projects for internal stakeholders and clients ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

Syscom, Inc.

Product Manager - Data

Saint Paul, MN · On-site +1

... data science, and business strategy that help mature data practices and teams and drive organizational efforts to shift to new data lakes and data curation platforms from current legacy main frame ...

SYSCOM, Inc.

Product Manager - Data

Saint Paul, MN · On-site +1

... data science, and business strategy that help mature data practices and teams and drive organizational efforts to shift to new data lakes and data curation platforms from current legacy main frame ...

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Remote Scientific Data Curator information

What does a remote scientific data curator do?

A Remote Scientific Data Curator is responsible for organizing, managing, and maintaining scientific datasets to ensure their accuracy, accessibility, and usability. They work remotely with research teams to collect, annotate, and standardize data, making it easier for scientists and researchers to use and share information. Their tasks often include data cleaning, metadata creation, quality control, and ensuring compliance with data management standards and policies.

What are the key skills and qualifications needed to thrive as a remote scientific data curator?

To thrive as a Remote Scientific Data Curator, you need a strong background in biology, bioinformatics, or a related scientific field, often supported by an advanced degree. Familiarity with data management systems, database tools (like SQL), and sometimes programming languages such as Python or R is typically required. Attention to detail, strong organizational skills, and effective written communication are vital soft skills for ensuring data accuracy and collaborating remotely. These skills are crucial to maintain high-quality, accessible scientific data that supports research and discovery across the scientific community.

What are the main challenges remote scientific data curators face when ensuring data quality and consistency across distributed teams?

Remote Scientific Data Curators often work with large, complex datasets from multiple sources, making it challenging to maintain uniform data quality and consistency. Since teams are distributed, clear communication and standardized protocols are essential to prevent discrepancies and data entry errors. Regular virtual meetings and collaborative tools help keep everyone aligned, but curators must also be proactive in documenting changes and clarifying ambiguities to ensure data sets remain accurate and reliable for research and analysis.

What is the difference between Remote Scientific Data Curator vs Remote Data Analyst?

AspectRemote Scientific Data CuratorRemote Data Analyst
CredentialsTypically requires a degree in science, data management, or related fieldUsually requires a degree in statistics, mathematics, or related field
Work EnvironmentOften in research institutions, labs, or scientific organizationsCommonly in business, finance, or tech companies
Industry UsageUsed in scientific research, academia, and healthcareUsed across various industries including finance, marketing, and tech
Search & Comparison IntentPeople compare to understand roles in scientific data managementPeople compare to distinguish data analysis responsibilities

The Remote Scientific Data Curator focuses on organizing, annotating, and maintaining scientific datasets, often within research or healthcare settings. In contrast, a Remote Data Analyst interprets data to generate insights for business decisions. While both roles handle data, their focus, industry, and required skills differ significantly.

What are popular job titles related to Remote Scientific Data Curator jobs in Minnesota?

For Remote Scientific Data Curator jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching Remote Scientific Data Curator jobs in Minnesota look for?

The top searched job categories for Remote Scientific Data Curator jobs in Minnesota are:

What cities in Minnesota are hiring for Remote Scientific Data Curator jobs?

Cities in Minnesota with the most Remote Scientific Data Curator job openings:

Remote Scientific Data Curator jobs near you
Infographic showing various Remote Scientific Data Curator job openings in Minnesota as of June 2026, with employment types broken down into 4% Internship, 76% Full Time, 8% Part Time, and 12% Contract. Highlights an 100% Remote job distribution.

Senior Data Scientist

General Mills

Minneapolis, MN • On-site, Remote

$110K - $184K/yr

Full-time

Medical, Retirement

Re-posted 3 days ago

General Mills rating

8.2

Company rating: 8.2 out of 10

Based on 112 frontline employees who took The Breakroom Quiz

70th of 445 rated food and drinks producers

Job description

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.
At General Mills, we make the food the world loves. Behind every great decision is great data, and we are investing in the people, platforms, and AI capabilities that help turn insight into action.
We are hiring a Senior Data Scientist to help shape the next generation of advanced analytics and AI solutions across the enterprise. In this role, you will partner with business stakeholders, product owners, and technical teams to identify high-value opportunities, develop scalable machine learning solutions, and build reusable frameworks that strengthen how data science work gets done across General Mills.
This is an exciting opportunity for someone who enjoys both building and influencing: building models, frameworks, and AI-enabled solutions, while also helping teams make smarter, faster, data-driven decisions.
What you will do
  • Partner with data science leaders, AI engineering teams, and business stakeholders to identify, prioritize, and deliver high-impact AI and machine learning use cases
  • Design, prototype, and scale advanced analytics and AI solutions using best-in-class tools and technologies
  • Frame business problems as measurable data science opportunities and translate them into practical, value-focused solutions
  • Build production-ready, reusable, and scalable models that generate timely, actionable insights
  • Work across semi-structured data use cases, including problem framing, data curation, model development, and evaluation
  • Monitor model performance, incorporate stakeholder feedback, and continuously improve solution effectiveness
  • Help define and standardize data science ways of working, including common processes, reusable assets, frameworks, and best practices
  • Communicate recommendations clearly and persuasively, helping partners understand the why behind the work and trust the path forward
  • Contribute to a strong team culture by collaborating, sharing ideas, asking questions, and supporting other data scientists

Why this role stands out
  • You will work on cutting-edge AI initiatives that are already delivering business value
  • You will help build the internal foundations, standards, and reusable frameworks that make AI adoption faster and more effective across the company

Minimum Qualifications
  • 5+ years of experience in data science, decision sciences, or a related quantitative field
  • Bachelor's degree in Data Science, Computer Science, Engineering, Mathematics, Statistics, or a related field
  • Strong foundation in machine learning, statistical thinking, and/or analytical problem-solving
  • Strong proficiency in Python and SQL
  • Experience working with complex databases and modern data science tooling
  • Ability to spot questionable data, investigate issues, and improve the overall solution
  • Strong communication and stakeholder management skills, with the ability to translate business needs into technical solutions
  • Experience with cloud platforms such as GCP or similar environments

Preferred qualifications
  • Master's degree in Data Science, Computer Science, Engineering, Mathematics, Statistics, or a related field
  • Experience building large-scale AI or machine learning models
  • Some experience building AI solutions, including hands-on work with newer AI or agentic capabilities using Python or a similar programming language
  • Experience in operational or commercial business environments
  • Exposure to machine learning engineering practices and coding standards that support scalable, production-minded solutions

A strong fit for this role will bring
  • A balance of deep data science expertise and practical engineering exposure
  • Curiosity about where AI can create value and the discipline to prioritize the right use cases
  • Confidence working with ambiguity and shaping structure where it does not yet exist
  • A collaborative mindset and the ability to influence across technical and non-technical stakeholders

Additional considerations
  • International relocation and international remote working arrangements outside of the United States will not be considered
  • Candidates must be currently authorized to work in the United States on a full-time basis

SALARY RANGE
The salary range for this position is:
$110,800 - $184,800 Annual
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.

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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

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