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Data Science Manager Jobs in Minnesota (NOW HIRING)

Cambria

Data Engineering Manager

Belle Plaine, MN · On-site

Work closely with Data Science, BI, Market Research, and the Analytics Product Owner to turn ... Manage technical debt before it manages you. * Run the cadence. Partner with the APM on roadmap and ...

Cambria

Data Engineering Manager

Belle Plaine, MN

Work closely with Data Science, BI, Market Research, and the Analytics Product Owner to turn ... Manage technical debt before it manages you. * Run the cadence. Partner with the APM on roadmap and ...

Pwc

AI & GenAI Data Scientist - Manager

Minneapolis, MN

$99K - $232K/yr

Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics ... Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ...

Shipt

Data Scientist

Minneapolis, MN · On-site +1

You will collaborate with product ,managers, logistic operators and software engineers to turn ... MS or PhD in Statistics, Applied Mathematics, Computer Science, or other quantitative fields * 2+ ...

Cargill

Senior AI/Data Scientist (MSP)

Wayzata, MN · On-site

$105K - $160K/yr

They work to embed models into core workflows, operationalizing data science to deliver sustained business impact. Key Accountabilities * DATA PREPARATION MANAGEMENT: Conducts extraction and ...

Cargill

Senior AI/Data Scientist (MSP)

Wayzata, MN

$105K - $160K/yr

They work to embed models into core workflows, operationalizing data science to deliver sustained business impact. Key Accountabilities * DATA PREPARATION MANAGEMENT: Conducts extraction and ...

Cargill

Senior AI/Data Scientist (MSP)

Wayzata, MN

$105K - $160K/yr

Theywork to embed models into core workflows, operationalizing data science to deliver sustained business impact. Key Accountabilities * DATA PREPARATION MANAGEMENT: Conducts extraction and ...

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All JobsData Science JobsData Science Manager JobsData Science Manager Jobs in Minnesota

Data Science Manager information

See Minnesota salary details

$30.4K

$95.1K

$168.5K

How much do data science manager jobs pay per year?

As of Jun 10, 2026, the average yearly pay for data science manager in Minnesota is $95,145.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,600.00 and $122,900.00 per year, depending on experience, location, and employer.

What are the primary responsibilities of a Data Science Manager on a day-to-day basis?

As a Data Science Manager, your daily responsibilities typically include overseeing a team of data scientists and analysts, setting project priorities, and ensuring the timely delivery of data-driven solutions. You will often collaborate with cross-functional teams, such as engineering, product, and business stakeholders, to define problems, scope solutions, and communicate analytical insights. Your role also involves mentoring team members, reviewing code and analysis, and driving best practices in data science methodologies. This position requires balancing technical project oversight with team leadership and strategic business alignment.

What is a Data Science Manager job?

A Data Science Manager leads a team of data scientists to develop and implement data-driven solutions for business challenges. They oversee project timelines, ensure the quality of data analysis, and collaborate with cross-functional teams to drive decision-making. In addition to technical expertise, they require strong leadership, communication, and strategic thinking skills. Their role bridges the gap between data science initiatives and business objectives, ensuring the team's work aligns with company goals.

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

To thrive as a Data Science Manager, you need strong analytical skills, experience in machine learning and data analytics, and a background in statistics or computer science, often supported by an advanced degree. Familiarity with tools like Python, R, SQL, cloud platforms, and experience managing data science projects are highly valued, and certifications such as Certified Analytics Professional (CAP) can be advantageous. Excellent leadership, project management, and communication skills are crucial for guiding teams and translating technical findings for stakeholders. These abilities ensure effective team performance, successful project delivery, and the alignment of data science initiatives with organizational goals.

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 Data Science Manager jobs in Minnesota? For Data Science Manager jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Data Science Manager jobs in Minnesota look for? The top searched job categories for Data Science Manager jobs in Minnesota are:
What cities in Minnesota are hiring for Data Science Manager jobs? Cities in Minnesota with the most Data Science Manager job openings:
Data Science Manager jobs near you
Infographic showing various Data Science Manager job openings in Minnesota as of June 2026, with employment types broken down into 83% Full Time, and 17% Part Time. Highlights an 76% In-person, and 24% Remote job distribution, with an average salary of $95,145 per year, or $45.7 per hour.
Data Engineering Manager

Data Engineering Manager

Cambria

Belle Plaine, MN • On-site

Full-time

Medical, Dental, Life, Retirement, PTO

Posted 7 days ago

Job description

Job Description:
Cambria is looking for a hands-on Data Engineering Manager to lead the engineering function and empowers decision-making with reliable, scalable, accessible data. In this role, you will serve as both a technical contributor and a people leader: setting the engineering strategy for the pod, hiring and developing the team that builds it, and partnering closely with data scientists, BI engineers, and the Analytics Product Owner to turn complex business questions into data products that ship.
You move easily between architecture conversations and code review, executive readouts and sprint plans. You set the technical bar for quality, scalability, and security. You take smart risks, you protect your team's focus, and you make sure they have what they need to do the best work of their careers.
**This is an on-site position. Applicants must reside in the Twin Cities area. We are unable to offer relocation assistance or sponsorship for this role.
Essential Duties & Responsibilities
  • Lead the team. Actively recruit, hire, mentor, and grow data engineers at every level. Set clear goals. Foster a culture of ownership, curiosity, and inclusion. Create the conditions for people to do the best work of their careers.
  • Drive engineering strategy. Design and oversee the data pipelines, warehouse models, and ELT processes that fuel GTM analytics. Collaborate with data architects on trade-offs - performance, cost, complexity, maintainability.
  • Shape the stack. Partner with Analytics and Architecture leaders on critical decisions about Snowflake, AWS, dbt, ingestion tooling, and BI platforms. Set the technical bar for quality, scalability, observability, and security.
  • Translate business needs into engineering plans. Work closely with Data Science, BI, Market Research, and the Analytics Product Owner to turn complex business questions into pipelines, reports, and data products that ship.
  • Establish the standards. Define and incorporate best practices for data quality, security, privacy, and governance in partnership with architecture. Manage technical debt before it manages you.
  • Run the cadence. Partner with the APM on roadmap and sprint planning. Deliver high-priority data products on time, with quality, in a fast-moving environment.
  • Bridge engineering and business. Speak both languages fluently. Communicate progress, risks, and strategic direction to senior leadership with clarity and confidence. Cover ad-hoc analytical tasks and automate them away over time.

Qualifications & Skills
  • Engineering depth. Deep proficiency in SQL and Python. Strong working knowledge of cloud data architecture, distributed systems, and modern ELT/ETL patterns.
  • Modern stack fluency. Production experience with Snowflake (Medallion architecture a plus), dbt, and cloud platforms (AWS preferred). Familiarity with ingestion tools like FiveTran or Qlik and BI platforms like Sigma, DOMO, or Tableau.
  • Big data background. Hands-on experience with distributed data processing at scale - Spark, Hive, Kafka, modern table formats like Apache Iceberg, file formats like Parquet, and dependency-driven job schedulers. You've worked at scale before, even if Cambria's stack is more managed.
  • Data architecture & modeling. Strong instincts for data modeling, schema design, and task estimation. Comfortable with API specs, identifying the right calls, extracting the data, and shaping it into something analysts can actually use.
  • Proven leadership. A track record of building, growing, and mentoring data engineering teams. You manage technical debt, set KPIs, run performance reviews, and develop the next layer of leaders below you.
  • Business fluency. Comfortable translating between business strategy and engineering execution. You navigate complex cross-functional situations with diplomacy. You speak clearly to executives without dumbing it down.
  • Bias for action. Calm under pressure. Excellent attention to detail. Able to deliver high-quality work in a dynamic environment, against tight deadlines and competing requests.
  • The cultural fit. A passion for building inclusive engineering culture and cultivating psychological safety. An eagerness to learn. A sense of humor.

Minimum Requirements
Education: Bachelor's degree in Computer Science, Engineering, or a related quantitative field. Master's preferred. Relevant industry experience is valued over formal credentials.
Experience:Significant experience in data engineering, including a proven track record managing data engineering teams. We value depth and breadth of experience over years on a resume.
Systems: Snowflake, dbt, AWS, ELT/ETL tooling (Qlik, FiveTran, or similar), and modern BI platforms (Sigma, DOMO, Tableau, or similar).
Additional Requirements
Managerial Requirements:Manages a team of data engineers; partners cross-functionally with Data Science, BI, Market Research, Analytics Product Management, and senior business stakeholders.
Physical Requirements: Able to lift up to 20 pounds occasionally / sparingly (office supplies, packages, samples). May need to bend, reach, walk, or stoop occasionally. Prolonged periods sitting at a desk and working on a computer.
Travel Requirements: Regular travel between local Cambria locations
Cambria's starting salary range for this position is $138,000 - $179,000. Salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the target for new hires for the position. Individual pay is determined by several factors, including work location, job-related experience, and relevant education and/or training.
Cambria offers a competitive benefits package that encompasses Health and Dental Insurance, Paid Time Off, 7 paid Holidays , 401(k) plus matching, Discretionary Profit Sharing, Flexible Spending Account; Life, Supplemental Life, and Disability Insurance; Referral Program, Tuition Reimbursement, Employee Assistance Program, Employee Discount and Professional Development Assistance.
Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.
At Cambria, dedication to philanthropy and our people is at the heart of who we are. We strive to make a meaningful difference in the world every day by prioritizing employee well-being and fostering inclusivity and empowerment. Under the banner of CambriaCares, our philanthropic endeavors show our commitment to our people and our community to uplift kids, support education, and contribute to a sustainable future.
For additional company information, please visit www.CambriaUSA.com
An offer of employment is contingent upon the successful completion of a background verification check, subject to applicable laws and regulations. The results will be reviewed based on the individual's record, and the specific duties and requirements of the job.

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