Honeywell

Advanced Data Scientist

Honeywell • $100K — $130K *
Raleigh, NC 27610In-Person
Energy & Utilities
Less than 5 years of experience
Today
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Job Overview by Ladders

Qualifications

  • Bachelor's degree in Statistics, Applied Mathematics, Physics, Engineering, Data Science, or a related field.
  • 3+ years experience in applied statistical modeling and machine learning (or equivalent experience with advanced degrees).
  • Proficient in Python, R, and SQL for data analysis and modeling.
  • Experience with time-series modeling techniques on high-volume data.
  • Exposure to Databricks ML tools and MLflow.
  • Familiarity with distributed computing and software engineering principles.
  • Strong communication skills for explaining complex concepts to non-technical stakeholders.

Responsibilities

  • Design and implement statistical and ML models for forecasting and anomaly detection.
  • Build and maintain end-to-end ML pipelines on Databricks.
  • Apply both classical statistical methods and modern ML techniques to solve grid issues.
  • Develop predictive maintenance models using telemetry and SCADA data.
  • Translate business problems into statistical modeling tasks with suitable frameworks.
  • Implement monitoring and retraining workflows for models.
  • Contribute to systems for load forecasting and outage prediction.

Benefits

  • Employer-subsidized Medical, Dental, Vision, and Life Insurance.
  • Short-Term and Long-Term Disability coverage.
  • 401(k) matching contributions.
  • Flexible Spending Accounts and Health Savings Accounts.
  • Educational Assistance programs.
  • Parental Leave and Paid Time Off.
  • 12 Paid Holidays.
Full Job Description
Job Description

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.

Responsibilities

Key Responsibilities
  • Design and implement statistical and machine learning models for time-series forecasting, anomaly detection, and asset health scoring across utility networks.
  • Build and maintain end-to-end ML pipelines on Databricks from feature engineering and model training to validation, deployment, and monitoring in production.
  • Apply classical statistical methods (GLMs, GAMs, mixed-effects models, Bayesian inference) alongside modern ML techniques (ensemble approaches, network analysis, neural networks) to solve grid operations problems.
  • Develop predictive maintenance and degradation models for utility infrastructure using telemetry and SCADA data at scale.
  • Translate ambiguous business problems into well-defined modeling problems with appropriate statistical frameworks - e.g., knowing when a LM/GLM is sufficient and when gradient boosting or deep learning is warranted.
  • Implement model monitoring, drift detection, and automated retraining workflows to maintain model performance over time.
  • Contribute to load forecasting, demand response optimization, and outage prediction systems.
  • Ensure model interpretability and explainability for utility stakeholders and regulatory compliance.
  • Contribute to internal knowledge-sharing on statistical best practices.


Qualifications

YOU MUST HAVE
  • Bachelor's degree or equivalent in Statistics, Applied Mathematics, Physics, Engineering, Data Science, or a related quantitative field.
  • 3+ years of experience (with Bachelor's), 2+ years of experience (with Masters), or 1+ years (with PhD) in applied statistical modeling and machine learning, with a track record of deployed production models.
  • Strong programming skills in Python (PySpark, pandas, NumPy, scikit-learn, statsmodels, XGBoost), R (tidyverse, lme4, glmmTMB, glmnet, mgcv), and SQL for large-scale data analysis.
  • Experience with time-series modeling (ARIMA, state-space models, LSTM, Darts, or similar) on high-volume meter data.
  • Exposure to Databricks ML ecosystem (Feature Store, Experiment Track, Model Serving, Mosaic AI) and MLflow.
  • Familiarity with distributed computing concepts - PySpark, Optuna/Ray, Spark SQL, partitioning strategies, and medallion architecture.
  • Understanding of software engineering principles - version control (Git), testing, CI/CD for ML systems.
  • Ability to communicate complex statistical/ML concepts to non-technical stakeholders.

WE VALUE
  • Master's or PhD in Statistics, Applied Mathematics, Physics, Engineering, or a related quantitative field.Experience in the electric or gas utility industry.
  • Familiarity with AMI, SCADA, GIS, or OMS data.
  • Familiarity with deep learning (PyTorch) and geospatial analysis (GeoPandas, network/graph-based modeling).
  • Familiarity with generative AI and LLM-based solutions as complementary tools.
  • Familiarity with the invention disclosure and patent process; ability to write concise technical descriptions of novel methods and systems for intellectual property filings.

BENEFITS OF WORKING FOR HONEYWELL

In addition to a competitive salary, leading-edge work, and developing solutions side-by-side with dedicated experts in their fields, Honeywell employees are eligible for a comprehensive benefits package. This package includes employer subsidized Medical, Dental, Vision, and Life Insurance; Short-Term and Long-Term Disability; 401(k) match, Flexible Spending Accounts, Health Savings Accounts, EAP, and Educational Assistance; Parental Leave, Paid Time Off (for vacation, personal business, sick time, and parental leave), and 12 Paid Holidays. Learn more (https://benefits.honeywell.com/)

The application period for the job is estimated to be 40 days from the job posting date; however, this may be shortened or extended depending on business needs and the availability of qualified candidates. Job Posted: July 23, 2026

About Honeywell

Honeywell Aerospace is an American company that manufactures aircraft engines, avionics, auxiliary power units (APUs), and other aviation products. The company’s product portfolio includes space equipment, turbine engines, auxiliary power units, brakes, wheels, synthetic vision, runway safety systems and other avionics. President Barack Obama awarded a Honeywell employee the National Medal of Technology for his contributions to air flight safety technology. The company also owns a number of patents related to NextGen technology, aircraft windshields, turbochargers, and more. Honeywell Aerospace was founded in 1936 and is headquartered in Phoenix, Arizona.

Honeywell Careers

Joining Honeywell offers more than just job opportunities; it's a chance to grow with a company known for leadership in innovation and diversity. As a global leader, Honeywell is where your professional journey can reach new heights through a commitment to excellence and continuous improvement.

Work You'll Do

At Honeywell, you'll be part of a team that drives digital transformation across industries. With a focus on sustainability and advanced technologies, Honeywell is not just preparing for the future; we're creating it. Our diverse and inclusive culture fuels our innovation and connects us closer to our customers and the communities in which we operate.

Innovate and Lead

Embrace the opportunity to lead in the marketplace with Honeywell's cutting-edge solutions. Our leadership in areas such as aerospace, building technologies, and performance materials allows you to engage in work that makes a difference. Honeywell is at the forefront of tackling global challenges with innovative technology that improves quality of life.

Career Growth and Opportunities

Whether you're looking for an internship, a graduate role, or a leadership position, Honeywell offers a path to career success. Honeywell's commitment to professional growth is evident in our extensive training and development programs, aimed at expanding your skills and advancing your career.

Join a Dynamic Team

Honeywell's team culture is built on collaboration and respect. With a global team of professionals, you'll network with some of the brightest minds, working together to solve complex challenges. Our commitment to diversity and inclusive growth makes Honeywell not just a great place to work, but a place where your career can thrive.

Benefits and Culture

Honeywell is dedicated to providing employees with a life-work harmony through substantial benefits, including health, education, and retirement plans, ensuring peace of mind for you and your family. Our culture promotes quick learning, flexibility, and adaptation, which are critical in our fast-evolving industries.

Explore Job Opportunities

Discover the range of career opportunities at Honeywell, from engineering to sales, and contribute to our mission of shaping the future. Our hiring process is designed to find not just the right skills but also the right fit for Honeywell's culture.

Stay Connected

Join the Honeywell team to stay ahead with career tips, insider perspectives, and industry-leading insights you can put to use today—all from the people who work here.

Apply Now

Ready to apply? Check out the open positions on the Honeywell Careers page. Tailor your resume, prepare for your interview, and take the first step towards a rewarding career at Honeywell.

Keep Up to Date

Stay informed with the latest news, job alerts, and professional insights tailored to your interests. At Honeywell, your career journey is just beginning.

SEARCH HONEYWELL JOBS

Join Honeywell and be part of a team that is dedicated to building a smarter, safer, and more sustainable world.
Learn more about Honeywell
Size
99,000 employees
Market Cap
$143.4 billion
Industry
Manufacturing & Automotive
Net Income
$4.7 billion
Founded
1906
5 Year Trend
-2.6%
Revenue
$32.6 billion
NASDAQ
HON
* Ladders Estimates

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