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Data Engineer IV - R&D Laboratory

$90k - $153.3k
Full-time

Daikin Applied Americas

Join the world's largest HVAC company, named by Forbes as one of America's Best-In-State Employers 2025!

Data Engineer IV – Plymouth, MN – Onsite

Daikin Applied is seeking a Data Engineer IV 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
  • 7+ years (or 5+ years with a masters) of professional experience in analytics, data science, or a related field
  • Experience in R&D lab, manufacturing, or operations work environment
  • 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

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 $109,000 - $188,700 in Minnesota plus a 15% 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.

Employment is contingent upon successful completion of pre-employment requirements, including verification of employment history, education, background screening, and drug testing where permitted by law. Safety-sensitive positions may require cannabis (marijuana) testing. All testing and employment decisions will comply with applicable federal, state, and local laws.

If you're looking for an engaging career with growth opportunities in a supportive environment, you'll love a career at Daikin Applied!

Vacancy posted 3 days ago
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