Company:
Pattern Energy Group LP
Location: Houston
Closing Date: 19/11/2024
Hours: Full Time
Type: Permanent
Job Requirements / Description
Overview:
Pattern Energy is an independent, fully integrated energy company that develops, constructs, owns and operates renewable energy projects and transmission assets across North America and parts of Latin America. The company focuses primarily on wind and transmission, with limited investments in other generation technologies.
The Pattern Energy team has a history as one of the top North American renewable energy and transmission providers in the industry. The team is dedicated to delivering the highest value for its customers, partners, financial supporters and the communities in which it works, while exhibiting a strong commitment to promoting environmental stewardship and corporate responsibility.
Pattern Energy operates in the United States and Canada, with offices in San Francisco, Houston, San Diego, Boulder, New York and Toronto. Pattern Energy Group LP's corporate headquarters are in San Francisco.
Responsibilities:
The Senior Data Scientist role will work with other members of the Data Center of Excellence (DCOE) and subject matter experts from Engineering, Asset Management, Field Operations, and Meteorology to design, build, and operationalize data solutions that produce novel insight into key problems. This role will work with large datasets generated from wind turbines, solar power plants, meteorological towers, electrical substations, and electricity markets. This role will develop an understanding of how renewable systems, electricity markets, and asset performance management function, develop the skills to identify the metrics that effectively communicate/predict performance and problems, and build the analytics to deliver insight that drive decision making at Pattern.
Key Accountabilities
The key responsibilities will include the following:
Collaborate with cross-functional teams to architect and implement scalable, sustainable data solutions by defining key performance metrics, conducting comprehensive analytics, and identifying potential limitations. Facilitate the translation of complex statistical outputs into actionable business insights.
Strategically leverage internal resources, contractors, and external service providers to design and deploy innovative machine learning or advanced analytics solutions, or to enhance existing models using state-of-the-art methodologies.
Proactively monitor, validate, and maintain machine learning models, ensuring reliability and performance consistency. Design and implement robust frameworks to detect model drift, communicating critical changes to stakeholders with transparency.
Collaborate closely with Data Engineers, Visualization Engineers, and other Data Scientists to architect and deliver end-to-end machine learning and analytics solutions, from concept through deployment.
Develop reusable components and best practices for evaluating model performance and ensuring data integrity across projects.
Provide strategic support for ad hoc analyses, including fleet performance assessments, equipment reliability studies, root cause investigations, and market evaluations, ensuring alignment with business objectives and operational excellence.
Qualifications:
A bachelor’s degree in computer science, mathematics, statistics, economics, physics, or engineering is required as a minimum. Master’s degree preferred.
Work Experience
3-6 years of experience in data science or data analytics
Experience with statistical modelling and/or machine learning modelling
Wind power operations or electric utility operations experience strongly preferred
Additional Qualifications
Strong technical capabilities and a creative, curious, self-driven work ethic
Ability to work well with cross functional teams
Ability to travel (Up to 10% travel)
Required Technical Skills
Demonstrated strong programming skills (Python strongly preferred) with an emphasis on experience with data frame, data visualization, and data science libraries.
Demonstrated SQL skills with an understanding of joins, set theory, aggregate functions, window functions.
Demonstrated knowledge of statistical theory including Z-scores, hypothesis testing, inferential statistics, regression analysis – and application of theory appropriately to various problems.
Demonstrated ability of evaluating machine learning model performance and communicating findings of model performance.
Demonstrated ability to manage data science project scope and communicate results through reports and/or dashboards
Preferred Technical Skills
Experience with working with large files in Azure Data Lake (ADLS)
Experience with Spark in Databricks
Experience with a visualization library like Streamlit, Plotly, Shiny, and/or Power BI
Experience with writing modular Python code
Experience with Git
Experience with utility-scale data from SCADA systems or similar
Experience with wind turbine components and wind energy concepts or similar
Experience with wind turbine asset performance metrics
The expected starting pay range for this role is $89,000 - $112,000 USD. This range is an estimate and base pay may be above or below the ranges based on several factors including but not limited to location, work experience, certifications, and education. In addition to base pay, Pattern’s compensation program includes a bonus structure for full-time employees of all levels. We also provide a comprehensive benefits package which includes medical, dental, vision, short and long-term disability, life insurance, voluntary benefits, family care benefits, employee assistance program, paid time off and bonding leave, paid holidays, 401(k)/RRSP retirement savings plan with employer contribution, and employee referral bonuses.
Pattern Energy Group is an Equal Opportunity Employer.
#LI-DR1 #LI-Hybrid #LI-Remote
Pattern Energy is an independent, fully integrated energy company that develops, constructs, owns and operates renewable energy projects and transmission assets across North America and parts of Latin America. The company focuses primarily on wind and transmission, with limited investments in other generation technologies.
The Pattern Energy team has a history as one of the top North American renewable energy and transmission providers in the industry. The team is dedicated to delivering the highest value for its customers, partners, financial supporters and the communities in which it works, while exhibiting a strong commitment to promoting environmental stewardship and corporate responsibility.
Pattern Energy operates in the United States and Canada, with offices in San Francisco, Houston, San Diego, Boulder, New York and Toronto. Pattern Energy Group LP's corporate headquarters are in San Francisco.
Responsibilities:
The Senior Data Scientist role will work with other members of the Data Center of Excellence (DCOE) and subject matter experts from Engineering, Asset Management, Field Operations, and Meteorology to design, build, and operationalize data solutions that produce novel insight into key problems. This role will work with large datasets generated from wind turbines, solar power plants, meteorological towers, electrical substations, and electricity markets. This role will develop an understanding of how renewable systems, electricity markets, and asset performance management function, develop the skills to identify the metrics that effectively communicate/predict performance and problems, and build the analytics to deliver insight that drive decision making at Pattern.
Key Accountabilities
The key responsibilities will include the following:
Collaborate with cross-functional teams to architect and implement scalable, sustainable data solutions by defining key performance metrics, conducting comprehensive analytics, and identifying potential limitations. Facilitate the translation of complex statistical outputs into actionable business insights.
Strategically leverage internal resources, contractors, and external service providers to design and deploy innovative machine learning or advanced analytics solutions, or to enhance existing models using state-of-the-art methodologies.
Proactively monitor, validate, and maintain machine learning models, ensuring reliability and performance consistency. Design and implement robust frameworks to detect model drift, communicating critical changes to stakeholders with transparency.
Collaborate closely with Data Engineers, Visualization Engineers, and other Data Scientists to architect and deliver end-to-end machine learning and analytics solutions, from concept through deployment.
Develop reusable components and best practices for evaluating model performance and ensuring data integrity across projects.
Provide strategic support for ad hoc analyses, including fleet performance assessments, equipment reliability studies, root cause investigations, and market evaluations, ensuring alignment with business objectives and operational excellence.
Qualifications:
A bachelor’s degree in computer science, mathematics, statistics, economics, physics, or engineering is required as a minimum. Master’s degree preferred.
Work Experience
3-6 years of experience in data science or data analytics
Experience with statistical modelling and/or machine learning modelling
Wind power operations or electric utility operations experience strongly preferred
Additional Qualifications
Strong technical capabilities and a creative, curious, self-driven work ethic
Ability to work well with cross functional teams
Ability to travel (Up to 10% travel)
Required Technical Skills
Demonstrated strong programming skills (Python strongly preferred) with an emphasis on experience with data frame, data visualization, and data science libraries.
Demonstrated SQL skills with an understanding of joins, set theory, aggregate functions, window functions.
Demonstrated knowledge of statistical theory including Z-scores, hypothesis testing, inferential statistics, regression analysis – and application of theory appropriately to various problems.
Demonstrated ability of evaluating machine learning model performance and communicating findings of model performance.
Demonstrated ability to manage data science project scope and communicate results through reports and/or dashboards
Preferred Technical Skills
Experience with working with large files in Azure Data Lake (ADLS)
Experience with Spark in Databricks
Experience with a visualization library like Streamlit, Plotly, Shiny, and/or Power BI
Experience with writing modular Python code
Experience with Git
Experience with utility-scale data from SCADA systems or similar
Experience with wind turbine components and wind energy concepts or similar
Experience with wind turbine asset performance metrics
The expected starting pay range for this role is $89,000 - $112,000 USD. This range is an estimate and base pay may be above or below the ranges based on several factors including but not limited to location, work experience, certifications, and education. In addition to base pay, Pattern’s compensation program includes a bonus structure for full-time employees of all levels. We also provide a comprehensive benefits package which includes medical, dental, vision, short and long-term disability, life insurance, voluntary benefits, family care benefits, employee assistance program, paid time off and bonding leave, paid holidays, 401(k)/RRSP retirement savings plan with employer contribution, and employee referral bonuses.
Pattern Energy Group is an Equal Opportunity Employer.
#LI-DR1 #LI-Hybrid #LI-Remote
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