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Data Scientist
ndustrial Raleigh, NC
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$106k-131k (estimate)
Full Time 5 Days Ago
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ndustrial is Hiring a Data Scientist Near Raleigh, NC

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.

Job Summary

JOB TYPE

Full Time

SALARY

$106k-131k (estimate)

POST DATE

06/28/2024

EXPIRATION DATE

07/13/2024

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The following is the career advancement route for Data Scientist positions, which can be used as a reference in future career path planning. As a Data Scientist, it can be promoted into senior positions as a Data Scientist IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Data Scientist. You can explore the career advancement for a Data Scientist below and select your interested title to get hiring information.

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If you are interested in becoming a Data Scientist, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Data Scientist for your reference.

Step 1: Understand the job description and responsibilities of an Accountant.

Quotes from people on Data Scientist job description and responsibilities

Data scientists work closely with business stakeholders to understand their goals and determine how data can be used to achieve those goals.

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Data scientists are meant to use their technology and social science skills to develop different trends and manage data wisely.

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A data scientist develops software to structure the raw data.

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Data scientist will need to meet with their business stakeholders early and often to ensure that they are on the same page about the goals and deliverables of the project.

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Data scientists may spend some of their time working on ad hoc data requests, but these types of requests should only take up a small portion of their time.

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Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.

Career tips from people on Data Scientist jobs

Analyzing data from multiple angles and searching for trends that could reveal problems or opportunities.

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Data scientists lay a solid foundation to help perform all kinds of analysis.

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Data scientists are also expected to have stronger software engineering skills that data analysts.

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Business analysts are focused on reporting, just like data analysts.

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A data scientist should understand the assumptions that need to be met for each statistical test.

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Step 3: View the best colleges and universities for Data Scientist.

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