NextEra Energy, Inc.
Data Scientist - Distributed Generation Estimating (Houston, TX)
NextEra Energy, Inc., Houston, Texas, United States, 77246
Strong foundation in statistical analysis techniques
(e.g. Statistical decision tree model) Use Data Engineering skill sets
to build infrastructure for cloud-based database utilizing third party tools and custom software Proficiency in programming languages
(e.g., Python, R, SQL) Familiar with general software development tools
(Docker, Github) and best practices (unit testing) Experience with visualization dashboards
(e.g., Tableau, Power BI) Bachelor’s Degree Experience:
2+ years Responsibilities
Analyze large datasets (historical estimates, EPC bids, P&Ls, equipment quotes) and use statistical models to gain insights into cost trends and drivers Develop predictive models that use historical data, market trends, and other relevant factors to forecast future project costs Generate interactive visualizations that help identify cost outliers, trends, and areas that need attention or improvement Provide data-driven insights that help identify areas for process enhancement, update cost estimating methodologies, and implement best practices Implement automation and process optimization that streamline tasks and reduce manual effort thus saving time, improving efficiency, and reducing the likelihood of errors Leverage advanced analytics techniques for more accurate predictions, and faster estimates Effectively collaborate across the organization, working with Estimating, Project Controls, Pre-Con PMs, and other stakeholders to understand project requirements, identify data needs, and provide data-driven insights that positively impact the organization Stay abreast of the latest developments in data science and technology, implement new analytical techniques, tools, and best practices This position is responsible for developing algorithms, modeling techniques, and optimization methods that support many aspects of NextEra and FPL business Develops machine learning, optimization and other modeling solutions Prepares comprehensive documented observations, analyses and interpretations of results including technical reports, summaries, protocols and quantitative analyses Works with a variety of datasets, including timeseries data and “big data” requiring analysis on distributed computing platforms Writes software in R, Python or similar languages and contributes code to product development teams Performs other job-related duties as assigned Qualifications
Strong verbal and written communication Able to manage and prioritize tasks, work on multiple projects simultaneously, and meet deadlines effectively Preferred 4 to 5 years of experience with Python and SQL, 2 years of cloud experience (preferably AWS) NextEra Energy Resources is the world's largest generator of renewable energy from the wind and sun, and a world leader in battery storage. We provide energy-related products and services that grow our economy, protect the environment, support our communities and help customers meet their energy needs. We are leading the decarbonization of the U.S. economy with our goal to reach Real Zero carbon emissions from our operations by 2045 while improving customer affordability and reliability. Are you interested in creating a cleaner environment for future generations? Join our world-class, innovative team today.
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(e.g. Statistical decision tree model) Use Data Engineering skill sets
to build infrastructure for cloud-based database utilizing third party tools and custom software Proficiency in programming languages
(e.g., Python, R, SQL) Familiar with general software development tools
(Docker, Github) and best practices (unit testing) Experience with visualization dashboards
(e.g., Tableau, Power BI) Bachelor’s Degree Experience:
2+ years Responsibilities
Analyze large datasets (historical estimates, EPC bids, P&Ls, equipment quotes) and use statistical models to gain insights into cost trends and drivers Develop predictive models that use historical data, market trends, and other relevant factors to forecast future project costs Generate interactive visualizations that help identify cost outliers, trends, and areas that need attention or improvement Provide data-driven insights that help identify areas for process enhancement, update cost estimating methodologies, and implement best practices Implement automation and process optimization that streamline tasks and reduce manual effort thus saving time, improving efficiency, and reducing the likelihood of errors Leverage advanced analytics techniques for more accurate predictions, and faster estimates Effectively collaborate across the organization, working with Estimating, Project Controls, Pre-Con PMs, and other stakeholders to understand project requirements, identify data needs, and provide data-driven insights that positively impact the organization Stay abreast of the latest developments in data science and technology, implement new analytical techniques, tools, and best practices This position is responsible for developing algorithms, modeling techniques, and optimization methods that support many aspects of NextEra and FPL business Develops machine learning, optimization and other modeling solutions Prepares comprehensive documented observations, analyses and interpretations of results including technical reports, summaries, protocols and quantitative analyses Works with a variety of datasets, including timeseries data and “big data” requiring analysis on distributed computing platforms Writes software in R, Python or similar languages and contributes code to product development teams Performs other job-related duties as assigned Qualifications
Strong verbal and written communication Able to manage and prioritize tasks, work on multiple projects simultaneously, and meet deadlines effectively Preferred 4 to 5 years of experience with Python and SQL, 2 years of cloud experience (preferably AWS) NextEra Energy Resources is the world's largest generator of renewable energy from the wind and sun, and a world leader in battery storage. We provide energy-related products and services that grow our economy, protect the environment, support our communities and help customers meet their energy needs. We are leading the decarbonization of the U.S. economy with our goal to reach Real Zero carbon emissions from our operations by 2045 while improving customer affordability and reliability. Are you interested in creating a cleaner environment for future generations? Join our world-class, innovative team today.
#J-18808-Ljbffr