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Director Data Science Jobs in Rochester, MN (NOW HIRING)

Champion modernization of accreditation tools and processes-leveraging data, automation, and ... This leader harmonizes scientific rigor with practical execution-making standards intuitive ...

Champion modernization of accreditation tools and processes-leveraging data, automation, and AI ... This leader harmonizes scientific rigor with practical execution-making standards intuitive ...

Champion modernization of accreditation tools and processes-leveraging data, automation, and ... This leader harmonizes scientific rigor with practical execution-making standards intuitive ...

Champion modernization of accreditation tools and processes-leveraging data, automation, and ... This leader harmonizes scientific rigor with practical execution-making standards intuitive ...

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Director Data Science information

See Rochester, MN salary details

$54.9K

$157.4K

$248K

How much do director data science jobs pay per year?

As of Jun 21, 2026, the average yearly pay for director data science in Rochester, MN is $157,428.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,800.00 and $192,600.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Director Data Science position, and why are they important?

To thrive as a Director Data Science, you need a deep understanding of advanced statistical modeling, machine learning, and data strategy, typically backed by an advanced degree in a quantitative field and significant leadership experience. Proficiency with tools such as Python, R, SQL, cloud data platforms, and familiarity with data governance frameworks and certifications like Certified Analytics Professional (CAP) are common requirements. Outstanding communication, stakeholder management, and team leadership abilities make candidates stand out in this position. These skills ensure the successful translation of complex data insights into actionable business strategies and the effective leadership of high-performing data science teams.

Is 40 too late for data science?

For a Data Science Director role, age is not a barrier; many professionals transition into data science or advance to leadership roles later in their careers. Success depends on relevant skills, experience, and continuous learning in areas like machine learning, programming, and data analysis, regardless of age.

How much does a director of data science make in the US?

A director of data science in the US typically earns between $130,000 and $200,000 annually, with total compensation often including bonuses and stock options. Salaries vary based on experience, industry, company size, and location, and the role usually requires advanced skills in machine learning, data analysis, and leadership.

What is a Director Data Science job?

A Director of Data Science leads a team of data scientists and analysts to drive data-driven decision-making within an organization. They develop strategic initiatives, oversee machine learning and analytics projects, and collaborate with executives to align data efforts with business goals. The role requires expertise in data science, leadership, and communication to translate complex insights into actionable strategies.

What is the highest paid job in data science?

The highest paid roles in data science are often senior positions such as Chief Data Officer or Director of Data Science, with salaries exceeding $200,000 annually. These roles typically require extensive experience, advanced skills in machine learning and big data tools, and leadership responsibilities.

What does a director of data science do?

A director of data science oversees data science teams, develops strategic plans for data analysis, and ensures the implementation of data-driven solutions to support business goals. They often manage projects involving machine learning, statistical modeling, and data infrastructure, requiring strong leadership and technical skills. The role typically involves collaboration with other departments and may require experience with tools like Python, R, and cloud platforms.

What types of teams and professionals will I collaborate with as a Director Data Science?

As a Director Data Science, you will regularly collaborate with cross-functional teams including business analysts, data engineers, software developers, product managers, and senior executives. Your role often involves translating business goals into data-driven strategies, as well as mentoring and guiding data scientists and analysts on your team. You may also work closely with stakeholders from marketing, operations, and finance to align analytics initiatives with organizational objectives. This collaborative environment fosters innovative solutions and ensures data science efforts have a meaningful impact on overall business performance.

What are the most commonly searched types of Data Science jobs in Rochester, MN? The most popular types of Data Science jobs in Rochester, MN are:
What job categories do people searching Director Data Science jobs in Rochester, MN look for? The top searched job categories for Director Data Science jobs in Rochester, MN are:
What cities near Rochester, MN are hiring for Director Data Science jobs? Cities near Rochester, MN with the most Director Data Science job openings:
Research Scientist - Building Science

Research Scientist - Building Science

International WELL Building Institute (IWBI)

Rochester, MN โ€ข On-site

$130K - $165K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted yesterday


Job description

Research Scientist - Building Science
Department: Well Living Lab
Employment Type: Full Time
Location: Rochester, MN
Compensation: $130,000 - $165,000 / year
Description
Updated on 01/07/2026
Help advance the Well Living Lab's mission: to expand scientific and practical understanding of how indoor environments and human behavior interact to impact health and well-being.
Responsibilities:
  • Lead Research Development - Generate research ideas, design and execute protocols, and write proposals for external grant funding.
  • Data Oversight - Direct data collection, management, and analysis using advanced statistical methods; ensure data quality and integrity.
  • Publication & Communication - Prepare manuscripts, presentations, and reports; publish original research in peer-reviewed journals.
  • Collaboration - Work closely with Mayo Clinic scientists, external research organizations, and industry partners. Serve as a scientific lead or co-lead on Well Living Lab (WLL) projects.
  • Integration & Innovation - Align WLL research with broader health and building science platforms; stay current on literature and emerging trends.
  • Team Engagement - Collaborate daily with multidisciplinary researchers, technology and operations staff, and academic/industry partners.

You would be a great fit if:
  • PhD in a field related to the built environment or systems.
  • Minimum 5 years of post-doctoral or equivalent experience in human-centered research within the built environment.
  • Expertise in HVAC and environmental controls/engineering and their impact on human health.
  • Strong background in experimental design, simulation, and data analysis (including large datasets and statistical programming).
  • Proven success in grant writing, IRB submissions, and managing research protocols.
  • Track record of peer-reviewed publications and conference presentations.
  • Experience leading research projects and teams, with excellent organizational and project management skills.
  • Exceptional written and verbal communication skills; ability to collaborate across disciplines with flexibility and a positive attitude.

Bonus points:
  • Experience managing relationships with academic and industry collaborators.
  • Active involvement in professional organizations (ASHRAE, ASID, AIA, etc.).
  • Knowledge of building science instrumentation (temperature, RH, PM, VOC sensors) and calibration/QA protocols.
  • Familiarity with LabVIEW, MATLAB, or Python for instrument control and data analysis.
  • Ability to interpret and apply building engineering standards (ASHRAE, ASTM, ISO, LEED, WELL).
  • Strong professional network and commitment to staying current on trends in building science, indoor environmental quality, and human-centered design.

Note: This position requires the ability to access U.S. military installations. As a result, employment is contingent upon meeting all applicable federal eligibility requirements, including U.S. citizenship.
Benefits offered include:
  • Medical, Dental & Vision
  • 401(k) Retirement Plan, including employer match (100% vested)
  • Life Insurance (Voluntary Life Insurance and AD&D for employee and dependents)
  • Short-term and long-term disability
  • Health Spending Account (HSA)
  • Commuter Benefits (Pre-Tax)
  • Generous PTO policy
  • Volunteer days off
  • Competitive parental leave policy