Data Scientist

Mid-level
New York, 🇺🇸 United States
Data Scientist
Data science & Analytics

Data is literally the new Oil - and our belief is that the future of energy requires data to thrive and adapt to the massive changes in the world.

To accomplish this goal of being the best energy data platform we are seeking a rockstar data scientist to join our dynamic team that is passionate about generating insights from numbers, text and images.
This role is ideal for someone who thrives in an innovative and fast-paced environment and is eager to contribute to the development of energy-efficient solutions.

Responsibilities

  • Collect and prepare data from multiple sources to ensure a robust and reliable data foundation.
  • Analyze large sets of complex data to uncover hidden patterns and insights.
  • Develop and select meaningful features to enhance model accuracy and efficiency.
  • Design and implement predictive models and algorithms using machine learning techniques.
  • Develop natural language understanding methods out of free-unstructured-text using entity extraction and sentiment analysis.
  • Ensure the quality and accuracy of models through rigorous testing and validation.
  • Collaborate with cross-functional teams to translate data insights into actionable strategies.
  • Stay up-to-date with the latest advancements in machine learning and data science techniques.

Requirements

  • Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field.
  • At least 2 years of experience in a data science or data engineering role.
  • Proficiency in standard machine learning tools, with a strong preference for experience in Python libraries.
  • Experience with big data technologies such as Hadoop or Spark is a plus
  • Strong analytical and problem-solving skills, with an ability to handle complex, multivariable analyses.
  • Excellent communication skills, both verbal and written.

 

257

257

257 is a residential energy data platform that builds digital energy twins for every home in the US and enables use of these twins through analytics tools, APIs, and marketing tools.

🌞Clean energy
🌍Climate action
Clean Energy
Data Analytics
Sustainability
Technology

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