Data Scientist III
Daikin Applied Americas•Plymouth, MN
•Onsite
About The Position
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. 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
- 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
Nice To Haves
- 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
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
Benefits
- 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
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What This Job Offers
Job Type
Full-time
Career Level
Senior
