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At Home Data Scientist Risk Jobs in Northfield, MN

Data Engineer Senior

Bloomington, MN · On-site

$51.85 - $77.77/hr

Collaborate with other developers to design technology solutions that achieve measurable results at scale. * Collaborate with data scientists to train, develop, and operationalize learning models.

Data Engineer Senior

Bloomington, MN · On-site

$115K - $138K/yr

Collaborate with other developers to design technology solutions that achieve measurable results at scale. * Collaborate with data scientists to train, develop, and operationalize learning models.

Data Engineer Senior

Bloomington, MN

$115K - $138K/yr

Collaborate with other developers to design technology solutions that achieve measurable results at scale. * Collaborate with data scientists to train, develop, and operationalize learning models.

Risk Manager

Bloomington, MN · Hybrid

$93K - $122K/yr

Qualified candidates must be able toworka hybrid schedule at our Bloomington, MN office/facility ... Analyze and report claims, exposure, and loss prevention data to identify trends and inform risk ...

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Showing results 1-20

At Home Data Scientist Risk information

See Northfield, MN salary details

$39.4K

$129K

$206.5K

How much do at home data scientist risk jobs pay per year?

As of Aug 21, 2026, the average yearly pay for at home data scientist risk in Northfield, MN is $129,015.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,500.00 and $143,000.00 per year, depending on experience, location, and employer.

What is the difference between At Home Data Scientist Risk vs At Home Data Analyst Risk?

AspectAt Home Data Scientist RiskAt Home Data Analyst Risk
Required CredentialsTypically requires a master's or Ph.D. in data science, statistics, or related fieldsUsually requires a bachelor's degree in data analysis, statistics, or related areas
Work EnvironmentRemote, often involves complex modeling and predictive analyticsRemote, focuses on data interpretation and reporting
Employer & Industry UsageUsed in tech, finance, healthcare for advanced analyticsCommon in retail, marketing, and business sectors for reporting

The main difference between At Home Data Scientist Risk and At Home Data Analyst Risk lies in the complexity of tasks and required credentials. Data Scientists typically handle advanced modeling and require higher education, while Data Analysts focus on data reporting and analysis with more accessible qualifications. Both roles are remote and industry-specific, but Data Scientists often work on predictive analytics, whereas Data Analysts interpret existing data for decision-making.

What cities near Northfield, MN are hiring for At Home Data Scientist Risk jobs?

Cities near Northfield, MN with the most At Home Data Scientist Risk job openings:

Infographic showing various At Home Data Scientist Risk job openings in Northfield, MN as of August 2026, with employment types broken down into 86% Full Time, and 14% Part Time. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $129,015 per year, or $62 per hour.

$90K - $120K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Blue Cross Blue Shield Of Minnesota rating

7.1

Company rating: 7.1 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

251st of 311 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 DesignationHybrid

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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