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Weekend Data Science Jobs in Minnesota (NOW HIRING)

Ecolab

Sr Data Scientist

Saint Paul, MN · On-site

$118K - $177K/yr

Drive experimentation and delivery of digital AI / data science product innovations aligned to the overall digital product vision. * Work within an agile global resource model, planning for and ...

Ecolab

Sr Data Scientist

Saint Paul, MN · On-site

$118K - $177K/yr

Drive experimentation and delivery of digital AI / data science product innovations aligned to the overall digital product vision. * Work within an agile global resource model, planning for and ...

Accelint

Senior Data Scientist

Saint Paul, MN · On-site

$128K - $153K/yr

The ideal candidate has at least 5 years of experience in data science, with a demonstrated ability to collaborate with cross-functional teams. Duties & Responsibilities * Lead the design ...

Amentum

Data Scientist - Senior

Virginia, MN · On-site

The role involves leading advanced analytic efforts, conducting end-to-end data science activities, and transforming complex datasets into actionable insights to drive data-informed decision-making ...

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All JobsData Science JobsWeekend Data Science JobsWeekend Data Science Jobs in Minnesota

Weekend Data Science information

What are the key skills and qualifications needed to thrive as a Weekend Data Scientist, and why are they important?

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 job?

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 are some typical challenges faced by data scientists working specifically on weekends, 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 Minnesota? The most popular types of Data Science jobs in Minnesota are:
What are popular job titles related to Weekend Data Science jobs in Minnesota? For Weekend Data Science jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Weekend Data Science jobs in Minnesota look for? The top searched job categories for Weekend Data Science jobs in Minnesota are:
What cities in Minnesota are hiring for Weekend Data Science jobs? Cities in Minnesota with the most Weekend Data Science job openings:
Weekend Data Science jobs near you
Infographic showing various Weekend Data Science 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

Senior Data Scientist

Blue Cross and Blue Shield of Minnesota

Eagan, MN • On-site

$90K - $120K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago

Blue Cross Blue Shield Of Minnesota rating

5.3

Company rating: 5.3 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

267th of 278 rated insurance

Job description

About Blue Cross and Blue Shield of Minnesota
At Blue Cross and Blue Shield of Minnesota, we are committed to paving the way for everyone to achieve their healthiest life. We are looking for dedicated and motivated individuals who share our vision of transforming healthcare. As a Blue Cross associate, you are joining a culture that is built on values of succeeding together, finding a better way, and doing the right thing. If you are ready to make a difference, join us.
The Impact You Will Have
Blue Cross and Blue Shield of Minnesota is looking for a Senior Data Scientist on our Methods Analytics team!
The Senior Data Scientist on the Identification & Stratification Method Analytics team leads the design, development, and continuous improvement of data-driven processes that identify and prioritize members for care management and utilization management programs. This role focuses on applying statistical and population health methodologies-rather than heavy technical engineering-to analyze member populations, uncover insights, and guide program targeting strategies.
This position is responsible for building and maintaining production identification and stratification workflows that run on a recurring cadence (daily, weekly, monthly) to support both internal care management teams and external vendor programs. The Senior Data Scientist collaborates closely with clinical, product, and analytics partners to refine existing methodologies, develop new identification approaches, and ensure alignment with evolving business and care delivery goals.
The ideal candidate brings a strong healthcare background-such as population health or epidemiology-with deep expertise in statistical analysis, experience working with care management or utilization management concepts, and a collaborative, problem-solving mindset.
Your Responsibilities
  • Take lead on data science projects to design and implement models and experiments from end to end, including data ingestion and preparation, feature engineering, analysis and modeling, model deployment, performance tracking and documentation.
  • Lead-by-example junior data scientists around mature data science practices e.g., readable code, thorough documentation, comprehensive experimentation.
  • Work with business partners to convert ambiguous business problems in clear data science/ML specifications. Use contextual business acumen to convert model predictions/results into impactful insights and provide actionable guidance on risks and limitations.
  • Drive conversations with product managers, data engineers, and subject matter experts to ship new models, algorithms and improvements continuously and collaboratively into production.
  • Use combination of machine learning knowledge and contextual business acumen to convert results into impactful insights and provide actionable guidance on risks and limitations of model.
  • Write narrative documents for model specification and performance analysis to communicate findings and recommendations to teammates, stakeholders and executive leadership.

Required Skills and Experience
  • 5+ years of related professional experience. All relevant experience including work, education, transferable skills, and military experience will be considered.
  • Hands-on experience in analytics and data science (specific areas of interest include classification/regression, unsupervised learning, time-series/sequence models, NLP, explainability methods, deep learning).
  • Solid demonstrable proficiency in data science tools such as Python, R, Spark, SQL.
  • Experience implementing predictive algorithms and associated statistical analysis/inference in a data science/ML workflow manipulating both structured and unstructured data.
  • Experience crafting and communicating highly technical results to a diverse audience.
  • Comfortable working as part of a team and taking the lead.
  • High school diploma (or equivalency) and legal authorization to work in the U.S.

Preferred Skills and Experience
  • Bachelor's degree.
  • Experience with health care data
  • Experience with AWS tools
  • Experience with version control (for example Git Version Control system)
  • Proficiency with Data Bricks or similar tools

Role Designation
Hybrid
Anchored in Connection
Our hybrid approach is designed to balance flexibility with meaningful in-person connection and collaboration. We come together in the office two days each week - most teams designate at least one anchor day to ensure team interaction. These in-person moments foster relationships, creativity, and alignment. The rest of the week you are empowered to work remote.
Compensation and Benefits
$90,800.00 - $120,300.00 - $149,800.00 Annual
Pay is based on several factors which vary based on position, including skills, ability, and knowledge the selected individual is bringing to the specific job.
We offer a comprehensive benefits package which may include:
  • Medical, dental, and vision insurance
  • Life insurance
  • 401k
  • Paid Time Off (PTO)
  • Volunteer Paid Time Off (VPTO)
  • And more

To discover more about what we have to offer, please review our benefits page.
Equal Employment Opportunity Statement
At Blue Cross and Blue Shield of Minnesota, we are committed to paving the way for everyone to achieve their healthiest life. Blue Cross of Minnesota is an Equal Opportunity Employer and maintains an Affirmative Action plan, as required by Minnesota law applicable to state contractors. All qualified applications will receive consideration for employment without regard to, and will not be discriminated against based on any legally protected characteristic.
Individuals with a disability who need a reasonable accommodation in order to apply, please contact us at: talent.acquisition@bluecrossmn.com.
Blue Cross® and Blue Shield® of Minnesota and Blue Plus® are nonprofit independent licensees of the Blue Cross and Blue Shield Association.

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