Data Scientist

4 weeks ago

Raleigh, United States Ndustrial Full time
Why We're Here:

Industrial facilities around the world are facing unprecedented energy challenges around rising energy costs and carbon reduction goals. We help our customers measure and improve their carbon footprint, energy spend, and profitability in terms of their production. We call this Energy Intensity, and we do it with a "production first" mindset for maximum impact. That's why at Ndustrial our mission is "to accelerate the optimization of Energy Intensity in industrial facilities." We live out this mission every day from our software development teams to our go–to–market teams.

Our Nsight Energy Intensity Platform is a market–leading SaaS platform which integrates IoT devices and control systems in the field with cloud–based systems. Nsight brings together all of this data to accelerate the energy transition for our industrial customers.

More About Us:

We live our values everyday: Teamwork, Customer First, Quality, and Curiosity

Our founders merged their experiences across Silicon Valley innovation, industrial engineering, and computer science to build a real–time industrial intelligence platform. We started as a team of three and have grown to more than 40 employees based in Raleigh and around the country.

A Series B company supported by world class investors including ABB, Clean Energy Ventures, ENGIE New Ventures, GS Energy and more.

Our customers span the globe with hundreds of industrial facilities that are highly energy intensive like cold storage warehouses, recycling facilities, and manufacturing sites.

Our investors include one of the largest utilities on the planet (ENGIE New Ventures), one of the leading climate tech investors (Clean Energy Ventures), and the largest cold storage logistics companies in the world (Lineage Logistics).

We exist to make the world a better place. We work every day to root out waste in the industrial sector. We are also dedicated to being a place where people can grow, have fun, feel part of a great community, and give back.

As a member of the Pledge 1% community, we donate 1% of employee time to charitable causes like building energy–efficient homes together with Habitat for Humanity. As a Green Places partner, we also track and offset our carbon emissions using high–quality, third–party verified offsets. Come grow with us

About the role:

We believe data drives decision–making, and we are looking for a Data Scientist to join our growing team. In this role, you will be responsible for extracting insights, performing statistical analysis, and building predictive models to support the optimization of Energy Intensity in industrial facilities. You will work closely with our software development team, as well as our customers, to understand their data needs and 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

Work closely with product managers and customer success to analyze and evaluate new data models and visualizations

Work with software engineers to implement and deploy data–driven solutions

Collaborate with customers to understand their data needs and provide insights

Present findings and recommendations to internal stakeholders and customers

Stay up–to–date with the latest developments and trends 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 proven, 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 Jupyter Notebook, CoLab, or similar collaborative data analysis tools

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 an inclusive and diverse workplace where every individual feels valued, respected, and empowered to contribute their unique perspectives and talent. We believe that talent comes in all shapes, sizes, and experiences. We recognize that you may not check every box on the job description, and that's okay We encourage candidates who may feel underqualified to apply anyway.

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