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Data Science Visualization Jobs in Minneapolis, MN

Data Engineer III

Plymouth, MN ยท On-site

$119K - $143K/yr

Bachelor's degree in Data Analytics, Data Science, Computer Science, Applied Mathematics ... visualization tools * Proficient in MS Power Apps and MS Office * Experience with databases ...

Bachelor's degree in Data Analytics, Data Science, Computer Science, Applied Mathematics ... visualization tools * Proficient in MS Power Apps and MS Office * Experience with databases ...

ASIC Gen-AI Data Scientist

Minneapolis, MN ยท On-site +1

$145K - $336K/yr

Experience with data analytics and visualization to deliver actionable engineering insights using ... science, and IT. The US base salary range that Micron Technology estimates it could pay for this ...

New

Work closely with business stakeholders, data analysts, and data scientists to translate business ... Experience with data visualization tools such as Tableau, Power BI, or Looker. * Knowledge of cloud ...

New

Bachelors Degree in Data Analytics or in Computer Science, Engineering, Mathematics, Statistics, or ... Experience with data visualization and presentation tools, such as Power BI * Demonstrable record ...

Power BI Data Engineer

Minneapolis, MN ยท On-site +1

$119K - $143K/yr

Key Responsibilities Power BI Development & Visualization * Create sophisticated, visually stunning ... Understanding of data science concepts and predictive analytics Technical Environment * Power BI ...

Power BI Data Engineer

Minneapolis, MN ยท On-site +1

$119K - $143K/yr

Key Responsibilities Power BI Development & Visualization * Create sophisticated, visually stunning ... Understanding of data science concepts and predictive analytics Technical Environment * Power BI ...

Showing results 41-60

Data Science Visualization information

See Minneapolis, MN salary details

$56.4K

$114.2K

$168.6K

How much do data science visualization jobs pay per year?

As of Sep 4, 2026, the average yearly pay for data science visualization in Minneapolis, MN is $114,244.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,900.00 and $128,400.00 per year, depending on experience, location, and employer.

What is data science visualization?

Data Science Visualization refers to the practice of creating graphical representations of data and analytical results to make complex information more understandable and actionable. Data visualization helps data scientists communicate insights, identify patterns, and inform decision-making by presenting data in charts, graphs, maps, and interactive dashboards. It bridges the gap between technical analyses and non-technical stakeholders, enabling clearer communication and more effective storytelling with data.

How does a data science visualization specialist typically collaborate with data scientists and other stakeholders during a project?

Data Science Visualization specialists play a key role in bridging the gap between complex data analysis and actionable insights. They often work closely with data scientists to understand the underlying data models and results, and then collaborate with business stakeholders to ensure visualizations are tailored to the audience's needs. Regular meetings, feedback sessions, and iterative design processes are common, enabling effective communication and ensuring that visual outputs are both accurate and impactful. This collaborative environment helps ensure that data-driven insights are easily understood and used for decision-making across the organization.

What are the key skills and qualifications needed to thrive as a data science visualization specialist, and why are they important?

To thrive in Data Science Visualization, you need a strong grasp of data analysis, statistics, and data storytelling, often supported by a degree in computer science, statistics, or a related field. Proficiency with visualization tools like Tableau, Power BI, or D3.js as well as programming languages such as Python or R is typically required. Creativity, attention to detail, and effective communication are valuable soft skills for translating complex data into clear, actionable visuals. These skills are crucial for transforming raw data into insights that drive informed business decisions.

What is the difference between Data Science Visualization vs Data Analyst?

AspectData Science VisualizationData Analyst
Required SkillsData visualization tools, programming (Python, R), statistical knowledgeExcel, SQL, basic statistics, data reporting
Work EnvironmentData science teams, research projects, advanced analyticsBusiness units, reporting, data cleaning
Industry UsageTech, finance, healthcare, researchRetail, marketing, finance, operations

Data Science Visualization focuses on creating advanced visual representations of complex data sets using programming and statistical tools, often within data science teams. Data Analysts primarily generate reports and dashboards using tools like Excel and SQL for business decision-making. While both roles involve data visualization, Data Science Visualization emphasizes technical, programming-based visualizations for in-depth analysis, whereas Data Analysts focus on accessible reports for business insights.

What job categories do people searching Data Science Visualization jobs in Minneapolis, MN look for?

The top searched job categories for Data Science Visualization jobs in Minneapolis, MN are:

Infographic showing various Data Science Visualization job openings in Minneapolis, MN as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, and 4% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $114,244 per year, or $54.9 per hour.

Data Engineer III

Daikin Applied

Plymouth, MN โ€ข On-site

$119K - $143K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 3 days ago


Job description

Join the world's largest HVAC company, named by Forbes as one of America's Best-In-State Employers 2025!
Data Engineer III - Plymouth, MN - Onsite
Daikin Applied is seeking a Data Engineer III who will be the key analytics expert in an R&D laboratory that evaluates the performance of new HVAC products and technologies. As the primary technical lead for lab data systems, you will be influential in creating a strategic vision for and providing insights from the laboratory analytics and data.
Come be a part of an exciting journey at Daikin Applied, where innovation and excellence drive our every endeavor!
Location: Onsite, Plymouth, MN
Your Responsibilities:
  • Develop data automation strategy and roadmap aligned with Digital, Quality, and Engineering teams for enhanced data insights and automation
  • Develop, improve, and publish existing dashboards that track key performance indicators (KPIs) for laboratory operation, identify trends, and support data-driven decision-making for laboratory and quality activities
  • Write, validate, and maintain scripts and queries to automate data collection, standardize formats, and reduce manual reporting effort
  • Create machine learning (ML) models and statistical models to discover trends and detect anomalies in laboratory test data Adapt existing work with changing laboratory and digital softwares
  • Collaborate with Test Engineering, Quality, and Digital teams
  • Maintain and create documentation related to scripts, models, and dashboards
  • Share expertise and provide training to build the competencies of data quality and analytics skills to peers

Your Qualifications:
  • Bachelor's degree in Data Analytics, Data Science, Computer Science, Applied Mathematics, Engineering, or related field
  • 5+ years (or 3+ years with a masters) of professional experience in analytics, data science, or a related field
  • Proficiency in Python and SQL for data extraction, transformation, automation, and analysis or equivalent programs
  • Proficiency in Power BI Desktop and Power BI Cloud Services or equivalent business intelligence/data visualization tools
  • Proficient in MS Power Apps and MS Office
  • Experience with databases including data collection, transformation, and storage
  • Experience in creating machine learning (ML) models, statistical models, and anomaly detection
  • Strong verbal/written communication and collaboration skills
  • Ability to multitask

Your Preferred Qualifications:
  • Master's degree in Data Analytics, Data Science, Computer Science, Applied Mathematics, Engineering, or related field
  • Experience in R&D lab, manufacturing, or operations work environment

Your Benefits:
Daikin Applied offers the following benefits for this position, subject to applicable eligibility requirements:
  • Multiple medical insurance plan options + dental and vision insurance
  • 401K retirement plan with employer match
  • Paid time off and company paid holidays
  • Paid sick time in accordance with the federal, state and local law
  • Tuition Reimbursement after 6 months of continuous service

Work visa sponsorship is not available for this position.
The typical annual base salary for this position ranges from $90,000 - $153,300 in Minnesota plus a 10% bonus. The range displayed represents the pay range for all positions in the job grade which this position falls. Individual base pay will depend on a wide range of factors including your skills, qualifications, experience, and location.
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If you're looking for an engaging career with growth opportunities in a supportive environment, you'll love a career at Daikin Applied!