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

Data Scientist

Plymouth, MN · On-site

$87K - $115K/yr

Gather feedback from business users to continuously improve data science products. Desired Competencies: * Critical Thinking: You analyze information objectively, evaluate options, and apply sound ...

Senior Data Scientist

Eagan, MN · On-site

$119 - $144/hr

Lead end-to-end data science projects -- from defining the problem and project scope through development, implementation, and delivery. * Investigate specific market outcomes and operational events ...

New

If you enjoy building innovative solutions that bridge data science and software engineering, thrive in a collaborative environment, and are eager to solve complex challenges, we would like to hear ...

In this role, you will bridge the gap between traditional data science and software engineering by writing clean, modular Python code to build robust AI capabilities embedded directly into our ...

Data Scientist

Minneapolis, MN · On-site

$92K - $138K/yr

Minimum of 1-4 years of experience in data science * Proficiency with data mining, predictive modeling, and statistical analysis * Full proficiency in SQL, Python, R, or similar coding languages and ...

Data Scientist

Minneapolis, MN · On-site

$92 - $139/hr

Minimum of 1-4 years of experience in data science * Proficiency with data mining, predictive modeling, and statistical analysis * Full proficiency in SQL, Python, R, or similar coding languages and ...

Data Scientist

Minneapolis, MN · On-site

$92K - $138K/yr

Minimum of 1-4 years of experience in data science * Proficiency with data mining, predictive modeling, and statistical analysis * Full proficiency in SQL, Python, R, or similar coding languages and ...

Showing results 21-40

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:

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.

Data Scientist

Polaris, Inc.

Plymouth, MN • On-site

$87K - $115K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago


Job description

At Polaris Inc., we have fun doing what we love by driving change and innovation. We empower employees to take on challenging assignments and roles with an elevated level of responsibility in our agile working environment. Our people make us who we are, and we create incredible products and experiences that empower us to THINK OUTSIDE.

Position Overview:

As a Data Scientist, you will apply advanced analytics, statistical modeling, and data science techniques to solve complex business problems and support data-driven decision-making across Polaris. In this role, you will focus on the Supply Chain organization, optimizing decisions related to Supplier Risk Mitigation by transforming large and varied datasets into actionable insights. You will collaborate with cross-functional partners to identify opportunities, build predictive models, and communicate results clearly to both technical and non-technical audiences. You will also help deploy analytics solutions into production while maintaining high standards for data quality and solution performance. This role offers the opportunity to shape critical business decisions by developing impactful, end-to-end analytics and technology solutions.

Key Responsibilities:

  • Partner with business stakeholders to understand complex challenges and develop end-to-end data-driven solutions.
  • Extract, cleanse, integrate, and prepare large datasets from multiple systems and sources for analysis.
  • Perform exploratory and targeted analyses using a variety of statistical methods, including clustering, regression, decision tree/random forest, time series, and neural networks.
  • Develop, validate, and optimize predictive and analytical models to generate actionable insights and recommendations.
  • Collaborate cross-functionally to translate analytical findings into measurable business improvements.
  • Communicate technical analyses, insights, and recommendations effectively to both technical and non-technical audiences.
  • Integrate and deploy model results into production across cloud and edge computing platforms.
  • Ensure data quality, model performance, and solution integrity throughout the development process.
  • Document methodologies, findings, and results using established templates to support knowledge sharing and reuse.
  • Gather feedback from business users to continuously improve data science products.

Desired Competencies:

  • Critical Thinking: You analyze information objectively, evaluate options, and apply sound judgment to solve problems and make informed decisions.
  • Collaboration: You work effectively with others across functions and levels, contributing to shared goals while respecting different perspectives.
  • Communication: You clearly convey information, ideas, and expectations to diverse audiences, adjusting your message to ensure understanding and alignment.

Qualifications:

  • Bachelor's degree in Applied Statistics, Mathematics, Data Science, Computer Science, or a related field.
  • Minimum of 2 years of professional experience in a predictive analytics-focused role, excluding internships and academic coursework.
  • Demonstrated knowledge of statistical methods and predictive/analytical modeling techniques and practices.
  • Experience using data mining and predictive modeling tools such as SQL, R, Python, and Snowflake.
  • Experience creating data visualizations using tools such as Tableau or Power BI.
  • Experience preparing, rationalizing, and processing data in a cloud environment.
  • Demonstrated ability to build cross-functional relationships and frame analytical results within a business context.
  • Strong organizational skills, attention to detail, and ability to manage multiple projects and priorities.
  • Strong verbal and written communication skills, including the ability to partner effectively with non-technical stakeholders.
  • This position is not eligible for sponsorship.

The starting pay range for Minnesota is $87,000 to $115,000 per year. Individual salaries and positioning within the range are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills, and geography. While individual pay can fall anywhere in the range based on these factors, it is uncommon to start at the high end or top of the range.

#LI-RAO #HYBRID

To qualify for this position, former employees must be eligible for rehire, and current employees must be in good standing.

We are an ambitious, resourceful, and driven workforce, which empowers us to THINK OUTSIDE. Apply today!

At Polaris we put our employees first, by offering a holistic approach to their health and financial wellbeing. Polaris is proud to offer competitive compensation, including a market-leading profit-sharing plan that is fundamental to our pay-for-performance culture.At Polaris, employees are owners of the company through company contributions to our Employee Stock Ownership Plan and discounted employee stock purchases plan. Employees receive a generousmatching contribution to 401(k), financial wellness education and consultation to plan for their financial future. In addition to competitive pay, Polaris provides a comprehensive suite of benefits, including health, dental, and vision insurance, wellness programs, paid time off, gym & personal training reimbursement, life insurance and disability offerings. Through the Polaris Foundation and our Polaris Gives paid volunteer time off, we support employees who actively volunteer their time, efforts, and passions to improve the health and wellbeing of the communities in which they live, play and work. Employees at Polaris drive our success and are rewarded for their commitment.

About Polaris

As the global leader in powersports, Polaris Inc. (NYSE: PII) pioneers product breakthroughs and enriching experiences and services that have invited people to discover the joy of being outdoors since our founding in 1954. Polaris' high-quality product line-up includes the Polaris RANGER, RZR and Polaris GENERAL side-by-side off-road vehicles; Sportsman all-terrain off-road vehicles; military and commercial off-road vehicles; snowmobiles; Slingshot moto-roadsters; Aixam quadricycles; Goupil electric vehicles; and pontoon and deck boats, including industry-leading Bennington pontoons. Polaris enhances the riding experience with a robust portfolio of parts, garments, and accessories. Proudly headquartered in Minnesota, Polaris serves more than 100 countries across the globe. www.polaris.com

EEO Statement

Polaris Inc. is an Equal Opportunity Employer and will make all employment-related decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, national origin, age, disability, marital status, familial status, status with regard to public assistance, membership or activity in a local commission, protected veteran status, or any other status protected by applicable law. Applicants with a disability that are in need of an accommodation to complete the application process, or otherwise need assistance or an accommodation in the recruiting process, should contact Human Resources at 800-765-2747 orTalent.Acquisition@Polaris.com.To read more about employment discrimination protection under U.S. federal law, see:Know Your Rights: Workplace Discrimination is Illegal (eeoc.gov).