Raleigh, North Carolina, United States · Hybrid
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Skills: Statistics, Mathematical Modeling, Machine Learning, Python, R
Raleigh, North Carolina, United States · On-site
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Raleigh, North Carolina, United States · On-site
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Skills: MRI Operation, Patient Screening, Venipuncture, Contrast Media Administration, Patient Positioning
Raleigh, North Carolina, United States · On-site
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Syracuse, New York, United States · Remote OK
$86k–$126k/yr
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Raleigh, North Carolina, United States · On-site
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Raleigh, North Carolina, United States · On-site
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Des Moines, Iowa, United States · Remote OK
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Raleigh, North Carolina, United States · Hybrid
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Raleigh, North Carolina, United States · Remote OK
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Des Moines, Iowa, United States · Hybrid
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Raleigh, North Carolina, United States · On-site
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Raleigh, North Carolina, United States · On-site
$18/hr–$20/hr
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Raleigh, North Carolina, United States · On-site
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Raleigh, North Carolina, United States · On-site
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Raleigh, North Carolina, United States · On-site
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Raleigh, North Carolina, United States · On-site
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Raleigh, North Carolina, United States · On-site
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Raleigh, North Carolina, United States · On-site
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Raleigh, North Carolina, United States · On-site
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Skills: Facilities Maintenance, Mechanical Troubleshooting, CMMS, Blueprint Reading, Welding
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Develop data-driven solutions for connected utilities platforms, focusing on predictive grid reliability and operational intelligence. Translate business needs into scalable machine learning and statistical systems while mentoring junior data scientists.
Requires a quantitative degree and 1-3+ years of experience in applied statistical modeling and production ML deployment. Proficiency in Python, R, SQL, and time-series modeling is essential, along with familiarity with Databricks and software engineering principles.
We are seeking an Advanced Data Scientist with strong expertise in statistics, mathematical modeling, and applied machine learning to join our SME Analytics engineering team. This role focuses on identifying and developing data-driven solutions to business problems across our connected utilities platform, such as predictive grid reliability, operational intelligence, and scalable solutions to complex utility problems. The ideal candidate brings a quantitative research background (physics, engineering, statistics, math, or similar) combined with production engineering skills and is comfortable bridging rigorous statistical methodology with novel scalable ML/statistical systems.
You will report directly to our Fellow, and you’ll work out of our Raleigh, NC location on a Hybrid, work schedule.
At the heart of it
Honeywell Technologies is a global, pure-play automation company with a legacy of innovating to help solve the world’s most mission-critical challenges, enhancing the quality of life for people and communities around the world. We serve the building, industrial, and process sectors with a broad portfolio of services, solutions, and products, underpinned by our Honeywell Technologies Accelerator operating system and Honeywell Technologies Forge intelligence layer. By combining the deep domain expertise of our more than 50,000 employees with decades of data from our global installed base, we are uniquely positioned to lead the industrial sector’s transition from automation to autonomy. For additional information on how Honeywell processes your personal information please visit https://www.honeywell.com/privacy-statement.
Offices: Honeywell International Inc., Charlotte, North Carolina 28202, US · Calle de Josefa Valcarcel, 24, Madrid, Community of Madrid 28027, ES · 85 Enterprise Dr, Markham, ON L6G, CA
