Data Scientist, Data Science
About The Position
National Grid is hiring a Data Scientist, Data Science department in Brooklyn, Melville, and Syracuse NY. Every day we deliver safe and secure energy to homes, communities, and businesses. We are there when people need us the most. We connect people to the energy they need for the lives they live. The pace of change in society and our industry is accelerating, and our expertise and track record puts us in an unparalleled position to shape the sustainable future of our industry. The Data Scientist develops and delivers advanced analytics, machine learning, and automation solutions to improve operational performance and business decision-making. This role partners closely with cross-functional teams to translate complex data into actionable insights, enabling more efficient, scalable, and data-driven processes.
Requirements
- 1–2 years of experience developing predictive models and working with data science techniques.
- Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field preferred.
- Proficiency in Python and SQL.
- Experience with machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch).
- Experience with data visualization tools such as Power BI or Tableau.
- Experience working with Snowflake or similar cloud data platforms and large datasets.
- Familiarity with forecasting, optimization, or predictive modeling in business contexts.
- Understanding of data quality, validation, and governance principles.
Responsibilities
- Develop, deploy, and maintain machine learning models to solve business and operational problems.
- Analyze large, complex datasets to identify trends, insights, and opportunities for improvement.
- Work with Snowflake and enterprise data platforms to source, transform, and manage data.
- Build and maintain dashboards and reporting solutions (e.g., Power BI) to operationalize insights.
- Partner with cross-functional stakeholders to define problems, align on priorities, and deliver data-driven solutions.
- Translate business processes into scalable analytics solutions (e.g., forecasting, workforce planning, productivity tracking).
- Support end-to-end delivery of analytics initiatives, including requirements, development, testing, and deployment.
- Identify and implement process improvements and automation to replace manual workflows and improve efficiency.
- Quantify and communicate business impact, including efficiency gains, cost reduction, and productivity improvements.
- Explore and apply emerging technologies (e.g., AI, automation) to enhance analytics capabilities and outcomes.
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
