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Data Science International Remote Jobs in Minnesota

  • Retirement

Job Title Senior Data Science Consultant, Insurance - Remote Requisition Number R7828 Senior Data Science Consultant, Insurance - Remote (Open) Location Arizona - Home Teleworkers Additional ...

Product Manager (Data Science)

Medina, MN · On-site +1

$140K - $160K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

You will serve as a Product Manager for Data Science, advancing enterprise Data & Analytics ... Ability to work in a remote or hybrid model while being commutable to Medina, MN for quarterly ...

Data Management Strategic Planner

Saint Paul, MN · Remote

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Fully Remote (St. Paul, MN) Employment Type: Full-Time Experience Level: Advanced (10+ Years) Are ... Exposure to data science and machine learning platforms including Dataiku, SAS, or IBM Watson ...

Data Management Strategic Planner

Saint Paul, MN · Remote

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Overview Location: Fully Remote (St. Paul, MN) Employment Type: Full-Time Experience Level ... Exposure to data science and machine learning platforms including Dataiku, SAS, or IBM Watson ...

Data Engineer - Remote

Minnetonka, MN · On-site +1

$116K - $140K/yr

  • Retirement

The position operates as part of a collaborative data engineering team, working closely with fellow data engineers and data science & reporting partners to meet evolving data requirements. The scope ...

Enterprise Data Analyst

Minneapolis, MN · On-site +1

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

... and international operations. At Husch Blackwell we believe that diverse, equitable and inclusive ... The Enterprise Data Analyst is a firmwide shared-services role within the Firm's Data Science ...

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Data Science International Remote information

What is the difference between Data Science International Remote vs Data Analyst International Remote?

AspectData Science International RemoteData Analyst International Remote
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related fields; often some programming skillsBachelor's in Statistics, Mathematics, or related fields; basic data analysis skills
Work EnvironmentRemote, collaborative teams, often with cross-functional departmentsRemote, focused on data reporting and visualization tasks
Employer & Industry UsageTech, finance, healthcare, and consulting firmsBusiness, marketing, finance, and retail sectors

Data Science International Remote involves advanced analytics, machine learning, and programming, while Data Analyst International Remote focuses on data reporting, visualization, and basic analysis. Both roles are remote and in demand across various industries, but Data Science typically requires more technical skills and higher qualifications.

What are some common challenges faced by data scientists working in an international remote setting?

Data scientists working internationally and remotely often encounter challenges such as collaborating across time zones, which can make real-time communication and meetings difficult. Additionally, remote work may require extra effort to stay aligned with team goals, maintain effective data sharing, and ensure data privacy and compliance with various countries' regulations. Building strong relationships with colleagues may also take more intentional communication and proactive engagement. However, many companies support remote data scientists with robust collaboration tools and flexible work schedules to help mitigate these challenges.

What are the key skills and qualifications needed to thrive as a data scientist working internationally and remotely?

To excel as a Data Scientist in an international remote role, you need strong expertise in statistics, data analysis, and programming languages such as Python or R, typically backed by a degree in computer science, statistics, or a related field. Familiarity with machine learning frameworks, data visualization tools, and cloud-based platforms like AWS or Google Cloud is essential, and certifications in these areas can be advantageous. Outstanding communication, self-motivation, and cross-cultural collaboration skills help you effectively share insights and work with diverse teams across time zones. These competencies ensure you can independently deliver impactful data solutions while adapting to global team dynamics and remote work challenges.

What is a data science international remote job?

A Data Science International Remote job involves analyzing and interpreting complex data sets to help organizations make data-driven decisions, while working from a location outside the employer's country. This role typically requires strong skills in statistics, programming, and data visualization, and may involve collaborating with global teams across different time zones. Remote data scientists often use tools like Python, R, and SQL, and must be adept at communicating insights clearly to both technical and non-technical stakeholders. The international aspect adds the opportunity for cross-cultural collaboration and exposure to diverse data challenges.

What are popular job titles related to Data Science International Remote jobs in Minnesota?

For Data Science International Remote jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching Data Science International Remote jobs in Minnesota look for?

The top searched job categories for Data Science International Remote jobs in Minnesota are:

What cities in Minnesota are hiring for Data Science International Remote jobs?

Cities in Minnesota with the most Data Science International Remote job openings:

Infographic showing various Data Science International Remote job openings in Minnesota as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

Senior Data Scientist

通用磨坊股份有限公司

Minneapolis, MN • On-site, Remote

$184K/yr

Full-time

Medical, Retirement

Posted 14 days ago


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.