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Sr Data Scientist Jobs in Rochester, MN (NOW HIRING)

Mayo Clinic

Sr Manager, Connect

Rochester, MN · On-site

$113K - $113K/yr

The Senior Manager, Connect Program & Delivery is accountable for the successful delivery ... The ideal candidate will have a strong technical background in data science, engineering, computer ...

Mayo Clinic

Sr Manager, Connect

Rochester, MN · On-site

$113K - $113K/yr

The Senior Manager, Connect Program & Delivery is accountable for the successful delivery ... The ideal candidate will have a strong technical background in data science, engineering, computer ...

Mayo Clinic

Sr Manager, Connect

Rochester, MN · On-site

$117K - $118K/yr

The Senior Manager, Connect Program & Delivery is accountable for the successful delivery ... The ideal candidate will have a strong technical background in data science, engineering, computer ...

Mayo Clinic

Sr Manager, Connect

Rochester, MN

$113K - $113K/yr

The Senior Manager, Connect Program & Delivery is accountable for the successful delivery ... The ideal candidate will have a strong technical background in data science, engineering, computer ...

Nucleus RadioPharma

Senior Microbiologist

Rochester, MN · On-site

$80K - $120K/yr

... and data trending, partnering cross‑functionally with Manufacturing, Quality Assurance ... Bachelor's degree in Biology, Microbiology, or a related scientific discipline. * Minimum 5 years ...

Mayo Clinic

Senior Analytics Advisor-Hybrid

Rochester, MN · Hybrid

$107K - $150K/yr

Bachelor's Degree in Accounting, Finance, Business Administration, Data Science, or Computer Science domain or 7-10 years of experience working with data and analytics delivery. Demonstrated ...

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Showing results 21-40

All JobsSr Data Scientist JobsSr Data Scientist Jobs in Rochester, MN

Sr Data Scientist information

See Rochester, MN salary details

$42.2K

$144.8K

$204.3K

How much do sr data scientist jobs pay per year?

As of Aug 10, 2026, the average yearly pay for sr 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 does a Sr Data Scientist do?

A Sr Data Scientist is responsible for analyzing complex data sets to extract meaningful insights and guide business decision-making. They design and implement advanced machine learning models, lead data-driven projects, and collaborate with cross-functional teams. In addition to technical tasks, Sr Data Scientists often mentor junior team members and play a key role in setting data strategy within the organization.

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

AspectSr Data ScientistData Analyst
Required CredentialsBachelor's/Master's/PhD in Data Science, Statistics, or related fields; experience with machine learningBachelor's degree in Data Analysis, Statistics, or related fields; proficiency in Excel, SQL
Work EnvironmentCollaborates with data science teams, develops models, and interprets complex dataPrepares reports, visualizes data, and supports decision-making
Employer & Industry UsageTech companies, finance, healthcare, and large enterprisesRetail, marketing, finance, and smaller organizations

The main difference between a Sr Data Scientist and a Data Analyst lies in their responsibilities and skill levels. Sr Data Scientists focus on building advanced models and algorithms, often requiring more technical expertise and experience with machine learning. Data Analysts primarily handle data cleaning, reporting, and visualization to support business decisions. Both roles are essential but serve different functions within data teams.

What are the key skills and qualifications needed to thrive as a Sr Data Scientist?

To thrive as a Sr Data Scientist, you need advanced knowledge of statistics, machine learning, and data analysis, typically backed by a degree in a quantitative field and several years of relevant experience. Expertise in programming languages like Python or R, experience with big data tools (e.g., Spark, Hadoop), and familiarity with cloud platforms or relevant certifications are commonly required. Strong problem-solving abilities, effective communication, and the ability to lead and mentor teams set standout professionals apart. These skills ensure that Sr Data Scientists can extract actionable insights from complex data, drive impactful projects, and support organizational decision-making.

How does a Sr Data Scientist typically collaborate with cross-functional teams within an organization?

A Sr Data Scientist often works closely with product managers, engineers, and business stakeholders to define project goals and translate business needs into analytical solutions. They play a key role in guiding junior data scientists and sharing insights with non-technical team members through clear communication and data visualization. Collaboration is integral, as projects frequently require input from different departments to ensure that data-driven solutions align with overall business strategies and technical feasibility. This cross-functional teamwork helps drive impactful results and fosters a culture of data-informed decision making.
What are popular job titles related to Sr Data Scientist jobs in Rochester, MN? For Sr Data Scientist jobs in Rochester, MN, the most frequently searched job titles are:
What job categories do people searching Sr Data Scientist jobs in Rochester, MN look for? The top searched job categories for Sr Data Scientist jobs in Rochester, MN are:
What cities near Rochester, MN are hiring for Sr Data Scientist jobs? Cities near Rochester, MN with the most Sr Data Scientist job openings:
Sr Data Scientist jobs near you
Infographic showing various Sr Data Scientist job openings in Rochester, MN as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 17% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $144,810 per year, or $69.6 per hour.

Lead Data Engineer - Enterprise Data & Analytics - Remote

Mayo Clinic

Rochester, MN

$111K - $134K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 11 days ago

Mayo Clinic rating

7.8

Company rating: 7.8 out of 10

Based on 697 frontline employees who took The Breakroom Quiz

131st of 887 rated healthcare providers

Job description

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.

Responsibilities

Lead data design, prototype, and development of data pipeline architecture pipelines. Lead implementation of internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability. Lead cause analysis on external and internal processes and data to identify opportunities for improvement and answer questions. Excellent analytic skills associated with working on unstructured datasets. Understand the architecture, be a team player, lead technical discussions and communicate the technical discussion. Be a senior Individual contributor of the Data or Software Engineering teams. Be part of Technical Review Board along with Manager and Principal Engineer. Be a technical liaison between Manager, Software Engineers and Principal Engineers. Collaborate with software engineers to analyze, develop and test functional requirements. Serve as a hands-on technical leader who actively designs, develops, reviews, and optimizes production-grade data pipelines, data products, and platform capabilities. Maintain significant contribution to production codebases while establishing engineering standards, mentoring team members, and driving delivery of scalable, resilient solutions. Mentor and Coach Engineers. Work with team members to investigate design approaches, prototype new technology and evaluate technical feasibility. Work in an Agile/Safe/Scrum environment to deliver high quality software. Establish architectural principles, select design patterns, and then mentor team members on their appropriate application. Facilitate and drive communication between front-end, back-end, data and platform engineers. Play a formal Engineering lead role in the area of expertise. Keep up-to-date with industry trends and developments.


Key Responsibilities:
These positions are hands-on engineering roles. In this role, employees are expected to actively design, develop, review, and optimize production code and platform capabilities while providing technical leadership and mentorship to engineering teams.


Qualifications

Bachelor's Degree in Computer Science/Engineering or related field with 6 years of experience OR an Associate's degree in Computer Science/Engineering or related field with 8 years of experience. Knowledge of professional software engineering practices and best practices for the full software development life cycle (SDLC), including coding standards, code reviews, source control management, build processes, testing, and operations. Have in-depth knowledge of data engineering and building data pipelines with a minimum of 5 years of experience in data engineering, data science or analytical modeling and basic knowledge of related disciplines. Worked and lead Data Engineering teams in Continuous Integration / Continuous Delivery model. Build/Lead Data products highly resilient in nature. Build/Lead Test Automation suites, Unit Testing coverage, Data Quality, Monitoring & Observability. A minimum experience of 5 years using relational databases and NoSQL Databases. Experience with cloud platforms such as GCP, Azure, AWS.
Continuous Integration using Jenkins, Git Hub Actions or Azure Pipelines. Experience with cloud technologies, development and deployment. Experience with tools like Jira, GitHub, SharePoint, Azure Boards. Experience using advanced data processing solutions/capabilities such as Apache Spark, Hive, Airflow and Kafka, GCP Dataflow. Experience using big data, statistics and knowledge of data related aspects of machine learning. Experience with Google BigQuery, FHIR APIs, and Vertex AI. Knowledge of how workflow scheduling solutions such as Apache Airflow and Google Composer related to data systems. Knowledge of using Infrastructure as code (Kubernetes, Docker) in a cloud environment.

The preferred candidate will possess:

  • Advanced proficiency in Python and SQL with demonstrated experience building and supporting production-grade solutions.
  • Advanced experience designing and implementing scalable distributed computing solutions using technologies such as Spark, Flink, Ray, or comparable frameworks.
  • Deep understanding of cloud-agnostic architecture principles and modern data platform design.
  • Advanced experience with open data architecture technologies including Apache Iceberg, Delta Lake, and Apache Hudi.
  • Strong expertise with modern analytical data formats including Parquet, Avro, and ORC.
  • Experience designing data platforms that support analytics, AI/ML, and operational workloads at enterprise scale.
  • Experience implementing CI/CD, automated testing, Infrastructure-as-Code, observability, and engineering best practices.
  • Experience designing systems for scalability, reliability, security, resiliency, and long-term maintainability.

Exemption Status
Exempt
Compensation Detail
$148,137.60 - $214,760.00/ year. Education, experience and tenure may be considered along with internal equity when job offers are extended.
Benefits Eligible
Yes
Schedule
Full Time
Hours/Pay Period
80
Schedule Details
M-F daytime hours 100% remote role, the employee needs to live within the US.
Weekend Schedule
As business needs dictate
International Assignment
No
Site Description
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.

Recruiter
Laura PercivalQualifications:

Bachelor's Degree in Computer Science/Engineering or related field with 6 years of experience OR an Associate's degree in Computer Science/Engineering or related field with 8 years of experience. Knowledge of professional software engineering practices and best practices for the full software development life cycle (SDLC), including coding standards, code reviews, source control management, build processes, testing, and operations. Have in-depth knowledge of data engineering and building data pipelines with a minimum of 5 years of experience in data engineering, data science or analytical modeling and basic knowledge of related disciplines. Worked and lead Data Engineering teams in Continuous Integration / Continuous Delivery model. Build/Lead Data products highly resilient in nature. Build/Lead Test Automation suites, Unit Testing coverage, Data Quality, Monitoring & Observability. A minimum experience of 5 years using relational databases and NoSQL Databases. Experience with cloud platforms such as GCP, Azure, AWS.
Continuous Integration using Jenkins, Git Hub Actions or Azure Pipelines. Experience with cloud technologies, development and deployment. Experience with tools like Jira, GitHub, SharePoint, Azure Boards. Experience using advanced data processing solutions/capabilities such as Apache Spark, Hive, Airflow and Kafka, GCP Dataflow. Experience using big data, statistics and knowledge of data related aspects of machine learning. Experience with Google BigQuery, FHIR APIs, and Vertex AI. Knowledge of how workflow scheduling solutions such as Apache Airflow and Google Composer related to data systems. Knowledge of using Infrastructure as code (Kubernetes, Docker) in a cloud environment.

The preferred candidate will possess:

  • Advanced proficiency in Python and SQL with demonstrated experience building and supporting production-grade solutions.
  • Advanced experience designing and implementing scalable distributed computing solutions using technologies such as Spark, Flink, Ray, or comparable frameworks.
  • Deep understanding of cloud-agnostic architecture principles and modern data platform design.
  • Advanced experience with open data architecture technologies including Apache Iceberg, Delta Lake, and Apache Hudi.
  • Strong expertise with modern analytical data formats including Parquet, Avro, and ORC.
  • Experience designing data platforms that support analytics, AI/ML, and operational workloads at enterprise scale.
  • Experience implementing CI/CD, automated testing, Infrastructure-as-Code, observability, and engineering best practices.
  • Experience designing systems for scalability, reliability, security, resiliency, and long-term maintainability.

What Mayo Clinic employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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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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