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

ResourceX.Inc

Data Science Training

Saint Paul, MN · On-site

Every training session is recorded and posted to the batch after each weekend class. * We are offering online training on Data Science. * Provide OPT Stem Ext.: Guidance and support for applying for ...

ResourceX.Inc

Data Science Training

Saint Paul, MN · On-site

Every training session is recorded and posted to the batch after each weekend class. * We are offering online training on Data Science. * Provide OPT Stem Ext.: Guidance and support for applying for ...

Tactile Medical

Data Scientist

Minneapolis, MN · On-site

Required : • Bachelor's degree in data science, statistics, mathematics, computer science, economics, or a quantitative field with strong statistical foundations • 4-7 years applied data science ...

Tactile Medical

Data Scientist

Minneapolis, MN · On-site

Bachelor's degree in data science, statistics, mathematics, computer science, economics, or a quantitative field with strong statistical foundations 4-7 years applied data science or machine learning ...

Resourcex,Inc.

Data Science Training

Saint Paul, MN · On-site

Every training session is recorded and posted to the batch after each weekend class. We are offering online training on Data Science. . Provide OPT Stem Ext.: Guidance and support for applying for ...

Accelint Holdings LLC

Data Scientist

Saint Paul, MN · On-site

$106 - $127/hr

The ideal candidate has at least 2 years of experience in data science, with a demonstrated ability to collaborate with cross-functional teams. Duties & Responsibilities * Lead the design ...

New

Accelint

Data Scientist

Saint Paul, MN · On-site

$105K - $126K/yr

The ideal candidate has at least 2 years of experience in data science, with a demonstrated ability to collaborate with cross-functional teams. Duties & Responsibilities * Lead the design ...

Tactile Medical

Data Scientist

Minneapolis, MN · On-site

$100K - $150K/yr

Qualifications Required: • Bachelor's degree in data science, statistics, mathematics, computer science, economics, or a quantitative field with strong statistical foundations • 4-7 years applied ...

Agiliti Health, Inc.

Data Scientist

Minneapolis, MN · On-site

$93K - $150K/yr

Utilize data science tools such as SQL, Databricks, Azure, and Python to analyze data and identify patterns. * Design and develop machine learning solutions to optimize workflows and processes.

Agiliti Health, Inc

Data Scientist

Minneapolis, MN · On-site

$94 - $150/hr

Utilize data science tools such as SQL, Databricks, Azure, and Python to analyze data and identify patterns. * Design and develop machine learning solutions to optimize workflows and processes.

System One

Data Scientist

Minneapolis, MN · On-site

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 ...

System One

Data Scientist

Minneapolis, MN · On-site

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 ...

System One

Data Scientist

Minneapolis, MN · On-site

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 ...

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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 Aug 10, 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.

Do weekend data scientists work on weekends?

Weekend data scientists may work on weekends if their projects or deadlines require it, but many roles follow a standard weekday schedule. Flexibility depends on the employer, project needs, and whether the position involves on-call or urgent tasks. Typically, data science roles are performed during regular business hours, but some positions may require weekend work for data collection, analysis, or reporting.

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 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 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.

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 1% As Needed, 80% Full Time, 15% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $128,114 per year, or $61.6 per hour.

Data Science

Cloud think technologies LLC

Minneapolis, MN • On-site

Contractor

Re-posted 9 days ago

Job description

Data Science: We are interested in individuals who are adept at tackling undefined business problems using both traditional machine learning approaches and the latest generative AI techniques. Ideal candidates should have robust analytical skills and be proficient in Python coding. Moreover, they should be capable of working both independently and collaboratively with the rest of the team. Additionally, experience in document processing with various forms is highly preferred. Effective communication skills are also essential for this role.

AI Engineering:

Primary Responsibilities:

o Design and implement the systems to power modern web applications that enables users to derive information from patient data in a scalable, reliable, and cost-effective manner

o Ensure the delivery of high-quality, maintainable, and efficient code

o Be an advocate for product quality, including agile SCRUM methodologies, unit tests, code reviews and engineering specifications.

Required Qualifications

• BS Degree in Computer Science or equivalent

• 6+ years of hands-on software engineering design and programming experience

• Hands on experience in delivering at least two modern web applications, from design to implementation, test and release.

• Master the fundamentals of technologies such as HTTP protocols, REST API, Security Fundamentals: Encryption, Hashing, Web Security Development, Authentication and Authorization

• 3+ years hands on experience with Python programming

• Basic understanding of front-end development with React

• Understand performance issues and how to optimize database queries and caching methodologies

• Ability to debug complex software and system issues

• Improve team engineering excellence by leading clear documentation, troubleshooting, logging and applying engineering best practices.

• Quality mindset with unit and integration tests

• Extensive experience in Agile and Scrum. You know how to work within teams against a backlog, and how to enable true CI/CD. You understand the role of a Software Engineer in an Agile environment – where clarifying the solution approach, possessing deep understanding of product requirements and always watching for edge cases are paramount

• Knowledge spans the full stack, from deployment ops and database technologies through to front-end frameworks. Ideally, you have a deep understanding of both OOP and Functional stacks, Relational and NoSQL Data Stores, Streaming Applications and system development/maintenance in accloud platform such as AWS, gcp or Azure. (AWS a bonus!)

Nice-to-have Skills:

• Familiarity with OpenAPI / Swagger specifications

• Deployment experience: GitHub actions, Terraform, Docker, etc.

• AWS experience such as RDS, ALB, Redis Cache, Secret Manager, EC2, IAM