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Weekend Data Science Jobs in Minneapolis, MN (NOW HIRING)

Entegris

Senior Data Scientist

Chaska, MN · On-site

Master's degree in Data Science, Computer Science, Electrical Engineering, Statistics, Artificial Intelligence, Machine Learning, or a related technical field. * 5+ years of experience developing ...

Daikin-Applied

Data Engineer III

Plymouth, MN · On-site

$90 - $153.30/hr

Data Scientist III - Plymouth, MN - OnsiteDaikin Applied is seeking a Data Scientist III who will be the key analytics expert in an R&D laboratory that evaluates the performance of new HVAC products ...

Nexwave

Sr. Data Scientist

Minnetonka, MN · On-site

$70/hr

Bachelor's degree in Data Science, Statistics, Computer Science, Engineering, or related field. * Strong Python/R/SAS and SQL skills. * Experience with machine learning, anomaly detection, pattern ...

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All JobsData Science JobsWeekend Data Science JobsWeekend Data Science Jobs in Minneapolis, MN

Weekend Data Science information

See Minneapolis, MN salary details

$39.1K

$128.1K

$205.1K

How much do weekend data science jobs pay per year?

As of Sep 2, 2026, the average yearly pay for weekend data science in Minneapolis, MN is $128,114.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,800.00 and $142,000.00 per year, depending on experience, location, and employer.

What is a weekend data science?

A Weekend Data Science job typically refers to a part-time or contract-based data science position where the primary work hours are on weekends. These roles are ideal for students, professionals seeking extra income, or those looking to gain experience in the data science field without committing to a full-time weekday schedule. Weekend data scientists analyze data, build models, and generate insights just like full-time data scientists but with flexible or reduced hours that fit around a weekend schedule.

What skills and qualifications are needed to thrive as a weekend data scientist?

To thrive as a Weekend Data Scientist, you need strong analytical skills, proficiency in statistics, and expertise in programming languages such as Python or R, often supported by a degree in a quantitative field. Familiarity with data analysis tools like SQL, machine learning libraries (e.g., scikit-learn, TensorFlow), and data visualization platforms (e.g., Tableau) is typically required. Excellent time management, problem-solving ability, and effective communication are crucial soft skills for delivering insights on tight weekend deadlines. These skills ensure that data-driven decisions can be made efficiently and accurately, even within limited time frames.

What challenges do data scientists working on weekends face, and how can they be managed?

Data scientists working weekend shifts often encounter challenges such as limited access to colleagues for collaboration or support, since many team members may not be available outside standard business hours. Additionally, urgent issues or data anomalies may require quick, independent problem-solving. Proactive communication with weekday teams, thorough documentation, and setting up clear protocols for handoffs can help manage these challenges and ensure smooth workflow continuity.

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

AspectWeekend Data SciencePart-Time Data Analyst
CredentialsTypically requires a degree in data science, statistics, or related fieldOften requires a degree or relevant experience in data analysis or related fields
Work EnvironmentProject-based, flexible hours, often remote or on-site during weekendsFlexible hours, may be remote or on-site, often with less technical complexity
Industry UsageUsed in tech, finance, healthcare, and startups for specialized projectsCommon in retail, marketing, and small businesses for routine data tasks

Weekend Data Science roles focus on complex data projects requiring advanced skills, often during weekends, while Part-Time Data Analysts handle routine data tasks with less technical depth, offering flexible schedules. Both roles serve different needs but share a focus on data work outside standard hours.

Do weekend data scientists work on weekends?

Weekend data scientists may work on weekends depending on project deadlines, company policies, or client needs. Typically, data science roles involve regular weekday hours, but some positions require weekend work, especially in roles with flexible or project-based schedules. It is important to clarify work hours during the hiring process or in job descriptions.

What are the most commonly searched types of Data Science jobs in Minneapolis, MN?

The most popular types of Data Science jobs in Minneapolis, MN are:

What are popular job titles related to Weekend Data Science jobs in Minneapolis, MN?

For Weekend Data Science jobs in Minneapolis, MN, the most frequently searched job titles are:

What job categories do people searching Weekend Data Science jobs in Minneapolis, MN look for?

The top searched job categories for Weekend Data Science jobs in Minneapolis, MN are:

Weekend Data Science jobs near you
Infographic showing various Weekend Data Science job openings in Minneapolis, MN as of August 2026, with employment types broken down into 84% Full Time, and 16% Part Time. Highlights an 89% In-person, and 11% Remote job distribution, with an average salary of $128,114 per year, or $61.6 per hour.

Principal Data Scientist

UnitedHealth Group

Eden Prairie, MN • On-site

Full-time

Re-posted 19 days ago

UnitedHealth Group rating

7.6

Company rating: 7.6 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

192nd of 898 rated healthcare providers

Job description

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale.Join us to start Caring. Connecting. Growing together.
This Principal Data Scientist role will be a part of the Decision Sciences team in Client Center of Excellence organization. The role will be responsible for strategic interpretation of data and business requirements to provide executive leadership and the growth with customer centric data driven insights and AI/ML solutions. Working in collaboration with Director, Decision Sciences and other data scientists team members, this role works to identify new business requirements across the organization, translate business requirements into data models, perform data engineering to combine diverse data sets, and develop custom algorithms for predictive AI models to support the Growth business and Optum business units.
You will enjoy the flexibility to telecommute* from anywhere within the U.S. as you take on some tough challenges.
Primary Responsibilities:
  • Lead development of advanced AI/ML systems using techniques such as deep learning, representation learning, time-series modeling, survival analysis, and probabilistic modeling to solve complex healthcare problems
  • Develop Generative AI and LLM-powered solutions including retrieval-augmented generation (RAG) pipelines, domain-adapted LLMs, and AI copilots for enterprise workflows
  • Lead collaboration with key business stakeholders to develop business solutions based on data driven insights to solve complex business problems
  • Lead projects that combine diverse customer data sets to identify trends and opportunities, develop custom machine learning models, and provide recommendations to optimize the business and address data-related problems
  • Serve as a senior technical authority in AI/ML by mentoring data scientists and reviewing complex modeling approaches and architecture
  • Coordinate with different functional teams to improve customer data architecture, ensure accuracy of model output and implement new data gathering processes
  • Create customized summaries, business presentations and documentation for internal business clients based on the results of research
  • Collaborate with engineering, platform, and product teams to operationalize scalable AI/ML and GenAI systems within enterprise platforms

You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear directions on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
Required Qualifications:
  • 8+ years of experience in machine learning, artificial intelligence, or applied data science to develop data products in a business environment
  • 8+ years of experience in Python-based machine learning development using frameworks such as PyTorch, TensorFlow, Pandas or equivalent
  • 5+ years of experience designing and deploying production machine learning systems leveraging regression, natural language processing algorithms, classification and clustering, time-series forecasting and predictive/prescriptive modeling
  • 5+ years of experience providing data driven solutions, predictive models, reports, or recommendations within a business environment using SQL or data visualization tools. This can include previous work in data science teams, business intelligence, financial reporting or analytics environments
  • 5+ years of experience working as a key SME to executive or C-Suite stakeholders

Preferred Qualifications:
  • Experience working with distributed ML systems and large-scale data platforms such as Snowflake, Spark, Databricks, or other ML systems
  • Experience working as a project or team lead on the development of data products in a business environment
  • Experience deploying AI solutions on cloud platforms such as AWS, Azure, or GCP
  • Experience working with healthcare datasets and standards such as claims, EHR, ICD, CPT, SNOMED, FHIR, or HL7
  • External contributions such as publications, patents, or open-source projects in machine learning or generative AI

*All Telecommuters will be required to adhere to UnitedHealth Group's Telecommuter Policy.
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location, and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups, and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.
UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.
UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.
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