Energy Data Scientist

Ndustrial-posted 3 months ago
Entry Level
Hybrid • Raleigh, NC
51-100 employees
Specialty Trade Contractors
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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.

  • Conducts statistical modeling on large datasets to identify patterns, trends, and correlations; applies statistical techniques to large datasets.
  • Develops predictive models and algorithms to optimize energy consumption and improve energy efficiency.
  • Performs data extraction, cleaning, and transformation to prepare datasets for machine learning and statistical analysis.
  • Works closely with product managers and customer success teams to analyze and refine data models and visualizations.
  • Works with software engineers to implement and deploy data-driven solutions.
  • Collaborates with customers to understand data needs, generate insights, and develop new data solutions.
  • Presents technical findings and recommendations to internal stakeholders and customers.
  • Works with machine learning models, statistical programming, and cloud-based data solutions (AWS, Azure).
  • Experience in statistical modeling and data analysis.
  • Proficiency in machine learning techniques and algorithms.
  • Strong programming skills in languages such as Python or R.
  • Experience with data extraction, cleaning, and transformation processes.
  • Familiarity with cloud-based data solutions, particularly AWS or Azure.
  • Experience in the energy sector or with energy efficiency projects.
  • Knowledge of IoT technologies and their applications in industrial settings.
  • Familiarity with data visualization tools and techniques.
  • Supportive and impactful work environment.
  • Opportunity to work with a team of forward-thinkers and problem-solvers.
  • Growth opportunities in a rapidly expanding startup.
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