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. By transforming energy-intensive operations, we help our customers reduce costs, improve performance, and drive sustainability. With clients like Lineage, ABB, and W.L. Gore, Ndustrial has already helped save over $100M in energy expenses. Join us in revolutionizing the industrial sector for a more sustainable future.More About Us:We live by our values: Teamwork, Customer First, Quality, and Curiosity. Founded by experts in Silicon Valley innovation, industrial engineering, and computer science, we’ve grown from three to 50+ employees in Raleigh and beyond. With a team of forward-thinkers and problem-solvers, we’re driving the digital transformation of industries globally.We are a Raleigh, NC based Series B startup backed by world class investors like ABB, Clean Energy Ventures, ENGIE New Ventures, and GS Energy, we serve global customers in energy-intensive sectors like cold storage, logistics, and manufacturing.Join us and help shape the future of energy efficiency while growing in a supportive, impactful environment.Responsibilities:<ul> <li>Conducts statistical modeling on large datasets to identify patterns, trends, and correlations; applies statistical techniques to large datasets. (20%) Develops predictive models and algorithms to optimize energy consumption and improve energy efficiency. (20%) </li> <li>Performs data extraction, cleaning, and transformation to prepare datasets for machine learning and statistical analysis. (15%)</li> <li>Works closely with product managers and customer success teams to analyze and refine data models and visualizations. (10%) Works with software engineers to implement and deploy data-driven solutions. (15%) Collaborates with customers to understand data needs, generate insights, and develop new data solutions. (10%) </li> <li>Presents technical findings and recommendations to internal stakeholders and customers. (05%) Works with machine learning models, statistical programming, and cloud-based data solutions (AWS, Azure). (05%)</li> </ul>Requirements<ul> <li>Master’s degree in Information Management, Management and Data Analytics, Data Science, or a related field. </li> <li>Two (2) years related experience as a Business Analyst or related occupation. </li> <li>Experience is required and must include: Applying statistical modeling and machine learning techniques to analyze large datasets, identify trends, and support data-driven decision-making in optimization and forecasting; Developing and implementing predictive models and algorithms to improve energy efficiency, optimize industrial IoT data, and enhance operational performance; Performing data extraction, cleaning, and transformation using SQL and Python to prepare datasets for machine learning and statistical analysis; Collaborating with cross functional teams, including product managers, software engineers, and customer success teams, to refine data models, create visualizations, and deploy data-driven solutions; and Utilizing cloud-based data solutions (AWS and Azure) and statistical programming to build, deploy, and maintain scalable data solutions. </li> <li>Work from home up to 50%. </li> <li>Employee must reside in metro area of office HQ (Raleigh, NC).</li> </ul>Benefits<ul> <li>Flexible PTO Policy</li> <li>Outstanding Benefits: Medical, Dental and Vision, STD, LTD, Life, AD&amp;D insurance employee premiums fully covered!</li> <li>Annual professional development stipend ($500/year)</li> <li>Commuter benefit</li> <li>Hey Taco! Peer Recognition Rewards</li> <li>401K contribution program</li> <li>Equity Options</li> <li>Weekly catered lunches</li> <li>Flexible hybrid work environment to support a healthy work-life balance</li> <li>New, modern, open office conveniently located on S. Harrington St. in Downtown Raleigh</li> <li>Inclusive, communicative, innovative and fun environment, we enjoy working together!</li> <li>Dog friendly office</li> <li>As part of the Pledge 1% community, we donate 1% of employee time to charitable efforts every year. We actively support causes like Habitat for Humanity and One Tree Planted, in addition to various local charities.  As a Green Places partner, we also track and offset our carbon emissions using high-quality, third-party verified offsets.</li> </ul>

ndustrial was founded in 2011 to accelerate efficiency across industrial facilities. Our founders merged their experiences across Silicon Valley innovation, industrial engineering and computer science to build a real-time industrial intelligence platform that enables companies to gain new levels of insight into their business processes and energy intensity and then optimize and transform them for sustained competitive advantage.
Headquartered in Raleigh, NC, ndustrial&rsquo;s customers span the globe. Come join one of the most impactful companies in its industry with investments from one of the largest utilities on the planet, ENGIE New Ventures, Clean Energy Ventures and the largest cold storage logistics companies in the world, Lineage Logistics. Our culture values a relentless customer first commitment to quality anchored in integrity and a startup mindset rooted in curiosity. Building a company and solving global challenges is hard work but our teamwork is sustained through humility and humor.

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. By transforming energy-intensive operations, we help our customers reduce costs, improve performance, and drive sustainability. With clients like Lineage, ABB, and W.L. Gore, Ndustrial has already helped save over $100M in energy expenses. Join us in revolutionizing the industrial sector for a more sustainable future.More About Us:We live by our values: Teamwork, Customer First, Quality, and Curiosity. Founded by experts in Silicon Valley innovation, industrial engineering, and computer science, we’ve grown from three to 50+ employees in Raleigh and beyond. With a team of forward-thinkers and problem-solvers, we’re driving the digital transformation of industries globally.We are a Raleigh, NC based Series B startup backed by world class investors like ABB, Clean Energy Ventures, ENGIE New Ventures, and GS Energy, we serve global customers in energy-intensive sectors like cold storage, logistics, and manufacturing.Join us and help shape the future of energy efficiency while growing in a supportive, impactful environment.Responsibilities:<ul> <li>Conducts statistical modeling on large datasets to identify patterns, trends, and correlations; applies statistical techniques to large datasets. (20%) Develops predictive models and algorithms to optimize energy consumption and improve energy efficiency. (20%)&nbsp;</li> <li>Performs data extraction, cleaning, and transformation to prepare datasets for machine learning and statistical analysis. (15%)</li> <li>Works closely with product managers and customer success teams to analyze and refine data models and visualizations. (10%) Works with software engineers to implement and deploy data-driven solutions. (15%) Collaborates with customers to understand data needs, generate insights, and develop new data solutions. (10%)&nbsp;</li> <li>Presents technical findings and recommendations to internal stakeholders and customers. (05%) Works with machine learning models, statistical programming, and cloud-based data solutions (AWS, Azure). (05%)</li> </ul>Requirements<ul> <li>Master’s degree in Information Management, Management and Data Analytics, Data Science, or a related field.&nbsp;</li> <li>Two (2) years related experience as a Business Analyst or related occupation.&nbsp;</li> <li>Experience is required and must include: Applying statistical modeling and machine learning techniques to analyze large datasets, identify trends, and support data-driven decision-making in optimization and forecasting; Developing and implementing predictive models and algorithms to improve energy efficiency, optimize industrial IoT data, and enhance operational performance; Performing data extraction, cleaning, and transformation using SQL and Python to prepare datasets for machine learning and statistical analysis; Collaborating with cross functional teams, including product managers, software engineers, and customer success teams, to refine data models, create visualizations, and deploy data-driven solutions; and Utilizing cloud-based data solutions (AWS and Azure) and statistical programming to build, deploy, and maintain scalable data solutions.&nbsp;</li> <li>Work from home up to 50%.&nbsp;</li> <li>Employee must reside in metro area of office HQ (Raleigh, NC).</li> </ul>Benefits<ul> <li>Flexible PTO Policy</li> <li>Outstanding Benefits: Medical, Dental and Vision, STD, LTD, Life, AD&amp;D insurance employee premiums fully covered!</li> <li>Annual professional development stipend ($500/year)</li> <li>Commuter benefit</li> <li>Hey Taco! Peer Recognition Rewards</li> <li>401K contribution program</li> <li>Equity Options</li> <li>Weekly catered lunches</li> <li>Flexible hybrid work environment to support a healthy work-life balance</li> <li>New, modern, open office conveniently located on S. Harrington St. in Downtown Raleigh</li> <li>Inclusive, communicative, innovative and fun environment, we enjoy working together!</li> <li>Dog friendly office</li> <li>As part of the Pledge 1% community, we donate 1% of employee time to charitable efforts every year. We actively support causes like Habitat for Humanity and One Tree Planted, in addition to various local charities.&nbsp; As a Green Places partner, we also track and offset our carbon emissions using high-quality, third-party verified offsets.</li> </ul>

Energy Data Scientist

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