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Weekend Remote Data Scientist Jobs in Minnesota (NOW HIRING)

... Remote Your Role ... This Data Scientist role offers the opportunity to help CSAA Insurance Group anticipate and prepare ...

Senior Data Scientist

Minnetonka, MN · Remote

$91K - $163K/yr

As a Senior Data Scientist of Medicaid Quality Analytics (UHC Government Programs), you will maintain and continue to reimagine the foundational metrics and analytics surrounding quality at UHG ...

Senior Data Scientist

Minnetonka, MN · Remote

$91K - $163K/yr

The Senior Data Scientist will support the development of analytics and insights that drive Star Ratings performance. This role focuses on hands-on analysis, modeling, and stakeholder support ...

Senior Data Scientist

Minnetonka, MN · Remote

$91K - $163K/yr

We are seeking a highly skilled Principal Data Engineer to lead the design, development, and optimization of largescale data platforms and analytical solutions. The ideal candidate will have deep ...

Data Engineer - Remote

Minnetonka, MN · On-site +1

$116K - $140K/yr

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 ...

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Weekend Remote Data Scientist information

What is the difference between Weekend Remote Data Scientist vs Part-Time Data Analyst?

AspectWeekend Remote Data ScientistPart-Time Data Analyst
CredentialsBachelor's or Master's in Data Science, Statistics, or related fieldBachelor's degree in related field, often with similar certifications
Work EnvironmentRemote, flexible hours, project-basedRemote or on-site, flexible hours, project or hourly-based
Industry UsageTech, finance, healthcare, e-commerceBusiness, marketing, research, finance
Search & Comparison IntentFocus on data science skills, modeling, machine learningFocus on data analysis, reporting, visualization

The Weekend Remote Data Scientist typically works on complex data modeling and machine learning projects during weekends, requiring advanced data science skills. In contrast, a Part-Time Data Analyst focuses on data reporting, visualization, and basic analysis, often during flexible hours. Both roles are remote and part-time but differ in technical complexity and daily responsibilities.

What is a weekend remote data scientist?

Weekend Remote Data Scientists are professionals who work part-time or on a flexible schedule, typically during weekends, to analyze data, build models, and generate insights for organizations. They perform their duties remotely, using data science tools and techniques to solve business problems without needing to be physically present at an office. This role is ideal for those seeking work-life balance, additional income, or flexibility in their work schedule. Weekend Remote Data Scientists often collaborate with teams via virtual communication platforms and use cloud-based tools to access and analyze data securely.

What are the key skills and qualifications needed to thrive as a weekend remote data scientist, and why are they important?

To thrive as a Weekend Remote Data Scientist, you need strong analytical skills, expertise in statistics, and a background in computer science or mathematics, often supported by a relevant degree. Familiarity with programming languages such as Python or R, experience with machine learning libraries, and knowledge of data visualization tools and cloud platforms are typically expected. Excellent time management, self-motivation, and clear communication skills are essential for independent remote work and effective collaboration with distributed teams. These skills ensure accurate data-driven insights, efficient project delivery, and seamless coordination in a remote and flexible work environment.

What are some common challenges faced by weekend remote data scientists, and how can they be addressed?

Weekend remote data scientists often face challenges such as managing communication with teammates who work standard weekday hours and accessing time-sensitive data or support outside regular business times. To overcome these hurdles, it's important to set clear expectations with your team, utilize asynchronous communication tools (like Slack or email), and plan your tasks in advance to ensure you have all necessary resources before the weekend. Proactively updating your team on progress and any blockers can also help maintain collaboration and project momentum.
Infographic showing various Weekend Remote Data Scientist job openings in Minnesota as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Senior Data Scientist

通用磨坊股份有限公司

Minneapolis, MN • On-site, Remote

$110K - $184K/yr

Full-time

Medical, Retirement

Posted 7 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.