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Senior Data Scientist information

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$42.2K

$144.8K

$204.3K

How much do senior data scientist jobs pay per year?

As of May 29, 2026, the average yearly pay for senior data scientist in Rochester, MN is $144,810.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,500.00 and $169,200.00 per year, depending on experience, location, and employer.

What Is a Senior Data Scientist?

A senior data scientist does complex data analysis. Job duties include gathering data and writing reports that can help people make decisions. In some cases, they may offer machine learning which is a way to help computers process and understand data. A senior data scientist may also be asked to formulate an algorithm to solve work problems. You need statistics and programming knowledge to be successful in this career.

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

To thrive as a Senior Data Scientist, you need advanced expertise in statistics, machine learning, data analysis, and programming, typically supported by a degree in a quantitative field and several years of experience. Familiarity with tools like Python, R, SQL, cloud platforms, and machine learning frameworks, as well as relevant certifications such as AWS Certified Machine Learning or TensorFlow Developer, is highly valuable. Strong problem-solving abilities, communication skills, and leadership qualities help in translating data insights into actionable business strategies and mentoring junior team members. These skills and qualities are crucial for driving impactful data-driven decisions and fostering innovation within organizations.

What are some of the main challenges Senior Data Scientists face when leading cross-functional projects?

Senior Data Scientists often encounter challenges such as aligning project goals across diverse teams, managing expectations of non-technical stakeholders, and ensuring data quality and accessibility. Balancing long-term research initiatives with immediate business needs can also be demanding. Effective communication, project management skills, and the ability to translate complex findings into actionable insights are essential for overcoming these hurdles and driving successful outcomes.

What does a Senior Data Scientist do?

A Senior Data Scientist leads advanced analytical projects, utilizing statistical modeling, machine learning, and data mining techniques to extract insights from large datasets. They collaborate with cross-functional teams to identify business opportunities, design predictive models, and communicate findings to stakeholders. In addition to technical expertise, they often mentor junior data scientists, help define data strategies, and ensure best practices in data analysis and model deployment.

What is the difference between Senior Data Scientist vs Data Analyst?

AspectSenior Data ScientistData Analyst
Required CredentialsMaster's or PhD in Data Science, Statistics, or related fieldBachelor's degree in related field, often with certifications
Work EnvironmentAdvanced analytics, modeling, and machine learning projectsData reporting, visualization, and basic analysis
Employer & Industry UsageTech, finance, healthcare, and large enterprisesRetail, marketing, small to medium businesses

While both roles involve working with data, Senior Data Scientists focus on complex modeling and predictive analytics, whereas Data Analysts primarily handle data reporting and visualization. The Senior Data Scientist role requires advanced technical skills and higher education, making it suitable for more complex projects in larger organizations.

More about Senior Data Scientist jobs
What are the most commonly searched types of Data Scientist jobs in Rochester, MN? The most popular types of Data Scientist jobs in Rochester, MN are:
What are popular job titles related to Senior Data Scientist jobs in Rochester, MN? For Senior Data Scientist jobs in Rochester, MN, the most frequently searched job titles are:
What job categories do people searching Senior Data Scientist jobs in Rochester, MN look for? The top searched job categories for Senior Data Scientist jobs in Rochester, MN are:
What cities near Rochester, MN are hiring for Senior Data Scientist jobs? Cities near Rochester, MN with the most Senior Data Scientist job openings:
Senior Data Scientist jobs near you
Infographic showing various Senior Data Scientist job openings in Rochester, MN as of May 2026, with employment types broken down into 9% As Needed, 18% Full Time, 37% Part Time, 9% Temporary, and 27% Contract. Highlights an 95% Physical, and 5% Hybrid job distribution, with an average salary of $144,810 per year, or $69.6 per hour.
Data Scientist - Research Sovereign AI

Data Scientist - Research Sovereign AI

Mayo Clinic

Rochester, MN • On-site

Full-time

Medical, Dental, Vision, Retirement

Posted yesterday

Mayo Clinic rating

7.8

Company rating: 7.8 out of 10

Based on 672 frontline employees who took The Breakroom Quiz

131st of 864 rated healthcare providers

Job description

Job Description
Data Scientist Foundational Model Science
Position Summary
The Data Scientist for Foundational Model Science is the senior technical leader, and the lead scientist responsible for designing, training, and governing Mayo's multimodal foundational model. This model forms the core intelligence layer used by clinical departments, researchers, agentic workflows, and sovereign AI collaborations. The individual will work as a hands-on architect, model-builder, and researcher while acting as a player-coach, guiding strategy and building a future team.
Key Responsibilities
Scientific & Technical Leadership
  • Design multimodal foundational model architectures integrating signals from imaging, text, waveforms, structured data, graph representations, and temporal embeddings.
  • Develop fusion, alignment, and cross-modal reasoning mechanisms (early fusion, late fusion, token-level fusion, hybrid models).
  • Define and implement methods for grounded clinical reasoning, retrieval-augmented inference, graph-augmented attention, and chain-of-thought verification.
  • Establish protocols for model lifecycle governance, safe update cycles, drift-aware re-training, and provenance tracking.

Hands-On Modeling & Training
  • Train large-scale deep learning models, including multimodal architectures and domain-specific transformer-based systems, on real clinical datasets.
  • Fine-tune and adapt large language models (LLMs) for clinical reasoning, summarization, question answering, agentic behavior, and instruction-following tasks.
  • Build retrieval-augmented pipelines using embeddings, vector stores, graph traversal, and clinically grounded context construction.
  • Develop evaluation methods for reasoning quality, temporal prediction accuracy, multimodal synergy, ablation-based robustness, and counterfactual behavior.
  • Create reference-grounded training datasets, structured reasoning tasks, and multimodal benchmarks to evaluate model performance.
  • Conduct hands-on experimentation with optimization strategies, large-scale distributed training, model quantization, and inference acceleration.
  • Implement uncertainty modeling, selective prediction, abstention mechanisms, and clinically meaningful risk thresholds.
  • Build interpretable reasoning pathways, cross-modal attribution maps, and reference-grounded explanations.

Cross-functional Collaboration
  • Work closely with the Representation team to ensure representation-model alignment.
  • Partner with clinical SMEs to encode domain reasoning into reinforcement learning, preference optimization, or rule-guided behaviors.

Team Leadership
  • Serve as the future founding technical lead of the Foundational Model Science Program.
  • Mentor scientists and engineers and eventually build a specialty modeling team.

Qualifications
Required
  • PhD in Machine Learning, Computer Science, Applied Mathematics, or related discipline with at least four years of informatics, Artificial Intelligence, data science and/or machine learning.
  • Experience with generative modeling, reasoning models, or multimodal foundation models.
  • Expertise in alignment methods (contrastive learning, RLHF/RLCS, preference optimization).
  • Experience with distributed training, and large-scale compute.

Preferred
  • Experience with clinical or EMR data across multiple modalities.
  • 7+ years experience training deep learning models, including transformers or multimodal architectures.
  • Experience defining evaluation frameworks for reasoning, multimodal synergy, reliability, or fairness.
  • Publications in multimodal learning, foundation models, or reasoning architectures.

About Us
Why Mayo Clinic
Mayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News & World Report. As we work together to put the needs of the patient first, we are also dedicated to our employees, investing in competitive compensation and comprehensive benefit plans - to take care of you and your family, now and in the future. And with continuing education and advancement opportunities at every turn, you can build a long, successful career with Mayo Clinic.
Benefits Highlights
  • Medical: Multiple plan options.
  • Dental: Delta Dental or reimbursement account for flexible coverage.
  • Vision: Affordable plan with national network.
  • Pre-Tax Savings: HSA and FSAs for eligible expenses.
  • Retirement: Competitive retirement package to secure your future.

About the Team
Just as our reputation has spread beyond our Minnesota roots, so have our locations. Today, our employees are located at our three major campuses in Phoenix/Scottsdale, Arizona, Jacksonville, Florida, Rochester, Minnesota, and at Mayo Clinic Health System campuses throughout Midwestern communities, and at our international locations. Each Mayo Clinic location is a special place where our employees thrive in both their work and personal lives. Learn more about what each unique Mayo Clinic campus has to offer, and where your best fit is.
Equal Opportunity
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, protected veteran status or disability status. Learn more about the "EOE is the Law". Mayo Clinic participates in E-Verify and may provide the Social Security Administration and, if necessary, the Department of Homeland Security with information from each new employee's Form I-9 to confirm work authorization.

What Mayo Clinic employees say

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About Mayo Clinic

Sourced by ZipRecruiter

Mayo Clinic is the largest integrated, not-for-profit medical group practice in the world. We're building the future, one where the best possible care is available to everyone — and more people can heal at home. Our relentless research turns into earlier diagnoses and new cures. That's how we inspire hope in those who need it most. At Mayo Clinic, experts work together to solve the most challenging unmet needs of patients. Our history of innovation dates back almost 150 years, when brothers Will and Charlie Mayo pioneered an integrated, team-based approach to medicine. Today, that trailblazing spirit drives innovations like Mayo Clinic Platform — which powers new technologies to change how care is delivered to all.

Industry

Hospitals

Company size

10,000+ Employees

Headquarters location

Rochester, MN, US

Year founded

1919

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