Data Scientist

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Join Our Team as a Data Scientist

Company Name: Ndustrial

Job Title: Data Scientist

Why We're Here

Industrial facilities worldwide face mounting energy challenges due to rising energy costs and stringent carbon reduction goals. At Ndustrial, we empower our customers to measure and enhance their carbon footprint, energy expenditures, and production profitability. We call this Energy Intensity, approached with a "production first" mindset for maximum impact. Our mission is to "accelerate the optimization of Energy Intensity in industrial facilities." This mission drives all our teams, from software development to go-to-market efforts.

Our Nsight Energy Intensity Platform is a leading SaaS solution that integrates IoT devices and control systems with cloud-based infrastructure. Nsight consolidates data to expedite the energy transition for industrial customers.

About Us

We embrace our core values daily: Teamwork, Customer First, Quality, and Curiosity. Founded by experts in Silicon Valley innovation, industrial engineering, and computer science, we built a real-time industrial intelligence platform. Starting as a three-person team, we've expanded to over 40 employees based in Raleigh and across the country.

Ndustrial is a Series B company backed by top-tier investors like ABB, Clean Energy Ventures, ENGIE New Ventures, and GS Energy. Our global clientele includes energy-intensive facilities such as cold storage warehouses, recycling centers, and manufacturing sites. We aim to reduce waste in the industrial sector while fostering a community where people can grow, have fun, and give back. As part of the Pledge 1% initiative, we donate 1% of employee time to charitable causes like Habitat for Humanity. We're also a Green Places partner, tracking and offsetting our carbon emissions.

About the Role

We believe data drives decision-making, and we seek a Data Scientist to join our growing team. You will be responsible for extracting insights, conducting statistical analysis, and building predictive models to optimize Energy Intensity in industrial facilities. Working closely with our software development team and customers, you'll deliver data-driven solutions that provide value and drive business outcomes.

Responsibilities

  • Perform data extraction, cleaning, and transformation to prepare datasets for analysis
  • Conduct statistical analysis on large datasets to identify patterns, trends, and correlations
  • Develop predictive models and algorithms to optimize energy consumption and improve energy efficiency
  • Collaborate with product managers and customer success teams to evaluate new data models and visualizations
  • Partner with software engineers to implement and deploy data-driven solutions
  • Work with customers to understand their data needs and provide insights
  • Present findings and recommendations to internal stakeholders and customers
  • Stay updated with the latest developments in machine learning, data science, and energy optimization

Requirements

  • Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field
  • 4+ years of hands-on experience as a Data Scientist or a similar role
  • Strong understanding of statistical analysis, machine learning, and predictive modeling techniques
  • Proficiency in programming languages such as Python
  • Experience with data visualization tools such as Plotly or similar
  • Proficiency with collaborative data analysis tools like Jupyter Notebook or CoLab
  • Knowledge of database systems and SQL
  • Excellent problem-solving and analytical skills
  • Strong communication and presentation skills

Nice to Have

  • Experience working with industrial IoT data
  • Knowledge of energy optimization and energy management systems
  • Experience with cloud platforms such as AWS or Azure

At Ndustrial, we foster a diverse and inclusive workplace where every individual feels valued, respected, and empowered. We encourage candidates who may not meet every qualification to apply and share their unique perspectives with us.

Come grow with us!