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Job Description

We are seeking a highly skilled Data Scientist with expertise in the renewable energy sector to drive data-driven decision-making and optimize energy generation, storage, and distribution. The ideal candidate will leverage advanced analytics, machine learning, and deep learning modeling to improve efficiency, forecast demand, and support sustainability goals.

Responsibilities:

Develop and deploy machine learning/deep learning models to predict energy production, and enhance asset performance.

Analyze large datasets from solar, wind, battery storage, and other renewable energy sources to identify trends and actionable insights.

Collaborate with engineers, analysts, and business stakeholders to integrate data science solutions into operations and strategy.

Implement predictive maintenance models to reduce downtime and improve asset reliability.

Utilize geospatial and weather data for energy forecasting and site selection.

Design and optimize algorithms for energy trading, load balancing, and grid stability.

Build and maintain scalable data pipelines to process real-time and historical energy data.

Communicate findings through data visualizations, dashboards, and reports for executive decision-making.

Stay up-to-date with advancements in AI, machine learning, and energy analytics to drive innovation.

We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [email protected] . The EEOC "Know Your Rights" Poster is available here (https://www.eeoc.gov/sites/default/files/2023-06/22-088\_EEOC\_KnowYourRights6.12ScreenRdr.pdf) .

To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/ .

Skills and Requirements

Bachelors or Masters degree in Data Science, Computer Science, Engineering, Statistics, or a related field.

5+ years of hands-on experience as a Data Scientist in an industrial setting.

Strong programming skills in Python, SQL.

Experience with machine learning frameworks (TensorFlow, scikit-learn, PyTorch, Keras) and data visualization tools (Tableau, Power BI, Matplotlib).

Expertise in working with time-series data and statistical modeling.

Familiarity with cloud platforms (AWS, Azure, Google Cloud) and big data technologies (Spark, Hadoop).

Knowledge of renewable energy systems, grid optimization, and forecasting models.

Strong problem-solving and communication skills. Experience with IoT and sensor data analysis.

Background in energy market analysis and financial modeling.

Understanding of regulatory policies affecting renewable energy. null

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion,sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military oruniformed service member status, or any other status or characteristic protected by applicable laws, regulations, andordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to [email protected].