Daikin Applied
Data Scientist III
Plymouth, MN 55441 · Mid
No sponsorship$90k-$153kDetected 1 day ago
PythonSQLMachine LearningData AnalysisData ScienceData VisualizationCommunicationCollaborationMicrosoft Office
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odds of building a lasting career here
54Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds (Level III)83
Fits your clock70
Sponsors, but it's cap-subject — you still face the weighted lottery (~45% per draw at Level III). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
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About the role
- Join the world's largest HVAC company, named by Forbes as one of America's Best-In-State Employers 2025!
- Data Scientist III - Plymouth, MN - Onsite Daikin Applied is seeking a Data Scientist III who will be the key analytics expert in an R&D laboratory that evaluates the performance of new HVAC products and technologies.
- The range displayed represents the pay range for all positions in the job grade which this position falls.
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
- 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
- Come be a part of an exciting journey at Daikin Applied, where innovation and excellence drive our every endeavor!
Requirements
- 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
- Experience with databases including data collection, transformation, and storage
- Ability to multitask
- Proficient in MS Power Apps and MS Office
- Experience in creating machine learning (ML) models, statistical models, and anomaly detection
- Strong verbal/written communication and collaboration skills
Nice to have
- 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 Preferred Qualifications:
Compensation
- The range displayed represents the pay range for all positions in the job grade which this position falls.
Benefits
- Multiple medical insurance plan options + dental and vision insurance
- 401K retirement plan with employer match
- Paid time off and company paid holidays
- Tuition Reimbursement after 6 months of continuous service
- Daikin Applied offers the following benefits for this position, subject to applicable eligibility
- The typical annual base salary for this position ranges from $90,000 - $153,300 in Minnesota plus a 10% bonus.
- 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.
- 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
Visa & Work Authorization
- Work visa sponsorship is not available for this position.
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This listing is sourced directly from Daikin Applied's careers page and normalized into a canonical job model.