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# Data Scientist III

- **Company:** Daikin Applied
- **Location:** Plymouth, MN, United States
- **Experience:** Experienced
- **Salary:** $90,000.0 - $153,300.0
- **Contract:** Permanent contract
- **Skills:** Databases, Data Mining, Data Systems, Data Visualization, Python (Programming Language), Machine Learning, Microsoft Office, Power BI, Cloud Services, SQL Databases, Information Technology, Data Analytics
- **Published:** August 1, 2026
- **Apply:** https://diversityjobs.com/main/sendform/8/8/28176/1/17767613?backUrl=%2Fcareer%2F17767613%2FData-Scientist-Iii-Minnesota-Plymouth

## About the Role

* 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

## Description

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. 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., * 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


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