Energy Data Scientist @ Ndustrial
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About Energy Data Scientist
At Ndustrial, we’re on a mission to help industrial, logistics and manufacturing companies optimize "Energy Intensity"—the critical metric of energy, emissions, and cost per unit of production. Our market-leading SaaS platform combines AI, IoT, and cloud technology to deliver real-time, data-driven insights that enable smarter, more efficient energy decisions.
We have saved over $100M in energy expenses for clients such as Lineage, ABB, and W.L. Gore. Ndustrial is a Raleigh, NC based Series B startup, backed by world class investors, and serves global customers in energy-intensive sectors.
Responsibilities
- Conduct statistical modeling on large datasets to identify trends and correlations. (20%)
- Develop predictive models and algorithms to optimize energy consumption. (20%)
- Perform data extraction, cleaning, and transformation for machine learning analysis. (15%)
- Collaborate with product managers and customer success teams on data models and visualizations. (10%)
- Work with software engineers to deploy data-driven solutions. (15%)
- Engage with customers to understand data needs and develop insights. (10%)
- Present technical findings and recommendations to stakeholders. (05%)
- Utilize machine learning, statistical programming, and cloud tools (AWS, Azure). (05%)
Requirements
Master’s degree in Information Management, Data Analytics, Data Science or related field. A minimum of two years in a related role is required. Candidates should have experience in statistical modeling, machine learning, data extraction using SQL and Python, and cloud-based data solutions.
Benefits & Work Environment
- Flexible hybrid work environment (work from home up to 50%)
- Modern office in Downtown Raleigh on S. Harrington St.
- Outstanding benefits including medical, dental, vision, and insurance coverages
- Professional development stipend and commuter benefit
- Equity options, 401K contribution program, and weekly catered lunches
- Inclusive, innovative, and dog friendly office culture
- Participation in charitable efforts and carbon offset initiatives
Key skills/competency
Energy Data Scientist, statistical modeling, machine learning, Python, SQL, AWS, Azure, IoT, cloud, predictive analytics
How to Get Hired at Ndustrial
🎯 Tips for Getting Hired
- Research Ndustrial's culture: Learn about their mission, values, and latest news.
- Customize your resume: Highlight statistical and machine learning skills.
- Prepare for technical interviews: Review Python, SQL, and cloud tools.
- Demonstrate teamwork: Show collaboration evidence in past roles.