Constellation
Overview
Be among the first 25 applicants. Constellation is the nation's largest producer of clean, carbon-free energy, focused on accelerating the transition to a carbon-free future. We have led clean energy production for more than a decade and cultivate a workplace where employees can grow, thrive, and contribute. Our culture and employee experience are powered by passion and purpose. We are creating healthier communities and a cleaner planet, and our people are the driving force behind our success. At Constellation, you can build a fulfilling career with opportunities to learn, grow and make an impact. By doing our best work and meeting new challenges, we can accomplish great things and help fight climate change. Join us to lead the clean energy future. Total Rewards
Constellation offers a broad range of benefits and rewards to help our employees thrive professionally and personally. In addition to competitive salaries, we offer a bonus program, 401(k) with company match, employee stock purchase program; comprehensive medical, dental and vision benefits, including a robust wellness program; paid time off for vacation, holidays, and sick days; and more. Expected salary range of $150,300 to $167,000, varies based on experience, along with a comprehensive benefits package that includes bonus and 401(k). Primary Purpose Of Position
Apply the appropriate data science or analytical methods to extract knowledge and insights from data, which may include time-series data (power plant equipment data, environmental data, or other), structured data stores, and unstructured data (text and multi-media). Collaborate with internal stakeholders, information architects, data engineers, project/program managers, and other teams to turn data into critical information to inform decision-making. Mine big and small data for insights using advanced statistics and machine learning methods. Validate findings with the business by sharing analysis outputs in a way that is understandable to business stakeholders. Serve as a subject matter expert in artificial intelligence, machine learning, feature engineering, data mining, and data manipulation/storage. Demonstrate commitment to continuous learning and professional development in technical subject matter. Share knowledge with team members, business stakeholders, and IT partners. Collect, cleanse, standardize and analyze data from internal and external sources. Produce novel insights to inform business actions using statistical modeling and machine learning techniques on large data sets (on the order of several terabytes or petabytes).
Primary Duties And Accountabilities
Develop key predictive models that lead to reduced overall annual expense for nuclear, performance improvement, and optimization of specific performance criteria. Develop and recommend data sampling techniques, data collections, and data cleaning specifications and approaches. Apply missing data treatments as needed. Analyze data using advanced analytics techniques in support of process improvement efforts using modern analytics frameworks, including but not limited to Python, R, Scala, Spark, Hadoop, and related tools. Access and analyze data sourced from various Company systems of record. Support the development of strategic business and program implementation plans. Access and enrich data warehouses across multiple Company departments. Build, modify, monitor and maintain high-performance computing systems. Provide expert data and analytics support to multiple business units. Work with stakeholders and subject matter experts to understand business needs, goals and objectives; collaborate with business, engineering, and technology teams to develop solutions to data-intensive problems and translate them into data science projects. Coordinate with other analytic teams across Constellation on big data analytics techniques and tools to improve analytical capabilities. Minimum Qualifications
Bachelor's degree in a quantitative discipline such as Data Science, Data Analytics, Applied Mathematics, Statistics, Computer Science, Operations Research, or a related field 10 years of experience developing hypotheses, applying machine learning algorithms, and validating results to analyze large, complex datasets and extract actionable insights, including prior research or professional experience using advanced analytic techniques Knowledge in at least two of the following areas: machine learning, artificial intelligence, statistical modeling, data mining, information retrieval, or data visualization Technical knowledge: Proven experience in developing and deploying predictive analytics projects using one or more leading languages (Python, R, Scala, etc.) Ability to consume and translate data and identify and communicate key points to support an analysis or result up to senior management Strong written and oral communication skills Preferred Qualifications
Master's Degree or PhD in a quantitative discipline such as mathematics, statistics, economics, data science, or a related field Technical knowledge: Expert-level coding skills (Python, R, Scala, SQL, etc.); proficiency in database management and handling large datasets (create, edit, update, join, append, and query data from columnar and big data platforms) Prior exposure to the full spectrum of the data science lifecycle, including data acquisition, maintenance, processing, analysis, and communication Strong analytical skills with a solid understanding of machine learning, statistics, probability theory, data structures and algorithms, and optimization Proven ability to translate executive and analytics leadership vision into actionable methods and analyses, with strong time management and presentation skills Seniority level
Mid-Senior level Employment type
Full-time Job function
Engineering and Information Technology Industries
Utilities Referrals increase your chances of interviewing at Constellation by 2x Get notified about new Data Scientist jobs in Kennett Square, PA.
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Be among the first 25 applicants. Constellation is the nation's largest producer of clean, carbon-free energy, focused on accelerating the transition to a carbon-free future. We have led clean energy production for more than a decade and cultivate a workplace where employees can grow, thrive, and contribute. Our culture and employee experience are powered by passion and purpose. We are creating healthier communities and a cleaner planet, and our people are the driving force behind our success. At Constellation, you can build a fulfilling career with opportunities to learn, grow and make an impact. By doing our best work and meeting new challenges, we can accomplish great things and help fight climate change. Join us to lead the clean energy future. Total Rewards
Constellation offers a broad range of benefits and rewards to help our employees thrive professionally and personally. In addition to competitive salaries, we offer a bonus program, 401(k) with company match, employee stock purchase program; comprehensive medical, dental and vision benefits, including a robust wellness program; paid time off for vacation, holidays, and sick days; and more. Expected salary range of $150,300 to $167,000, varies based on experience, along with a comprehensive benefits package that includes bonus and 401(k). Primary Purpose Of Position
Apply the appropriate data science or analytical methods to extract knowledge and insights from data, which may include time-series data (power plant equipment data, environmental data, or other), structured data stores, and unstructured data (text and multi-media). Collaborate with internal stakeholders, information architects, data engineers, project/program managers, and other teams to turn data into critical information to inform decision-making. Mine big and small data for insights using advanced statistics and machine learning methods. Validate findings with the business by sharing analysis outputs in a way that is understandable to business stakeholders. Serve as a subject matter expert in artificial intelligence, machine learning, feature engineering, data mining, and data manipulation/storage. Demonstrate commitment to continuous learning and professional development in technical subject matter. Share knowledge with team members, business stakeholders, and IT partners. Collect, cleanse, standardize and analyze data from internal and external sources. Produce novel insights to inform business actions using statistical modeling and machine learning techniques on large data sets (on the order of several terabytes or petabytes).
Primary Duties And Accountabilities
Develop key predictive models that lead to reduced overall annual expense for nuclear, performance improvement, and optimization of specific performance criteria. Develop and recommend data sampling techniques, data collections, and data cleaning specifications and approaches. Apply missing data treatments as needed. Analyze data using advanced analytics techniques in support of process improvement efforts using modern analytics frameworks, including but not limited to Python, R, Scala, Spark, Hadoop, and related tools. Access and analyze data sourced from various Company systems of record. Support the development of strategic business and program implementation plans. Access and enrich data warehouses across multiple Company departments. Build, modify, monitor and maintain high-performance computing systems. Provide expert data and analytics support to multiple business units. Work with stakeholders and subject matter experts to understand business needs, goals and objectives; collaborate with business, engineering, and technology teams to develop solutions to data-intensive problems and translate them into data science projects. Coordinate with other analytic teams across Constellation on big data analytics techniques and tools to improve analytical capabilities. Minimum Qualifications
Bachelor's degree in a quantitative discipline such as Data Science, Data Analytics, Applied Mathematics, Statistics, Computer Science, Operations Research, or a related field 10 years of experience developing hypotheses, applying machine learning algorithms, and validating results to analyze large, complex datasets and extract actionable insights, including prior research or professional experience using advanced analytic techniques Knowledge in at least two of the following areas: machine learning, artificial intelligence, statistical modeling, data mining, information retrieval, or data visualization Technical knowledge: Proven experience in developing and deploying predictive analytics projects using one or more leading languages (Python, R, Scala, etc.) Ability to consume and translate data and identify and communicate key points to support an analysis or result up to senior management Strong written and oral communication skills Preferred Qualifications
Master's Degree or PhD in a quantitative discipline such as mathematics, statistics, economics, data science, or a related field Technical knowledge: Expert-level coding skills (Python, R, Scala, SQL, etc.); proficiency in database management and handling large datasets (create, edit, update, join, append, and query data from columnar and big data platforms) Prior exposure to the full spectrum of the data science lifecycle, including data acquisition, maintenance, processing, analysis, and communication Strong analytical skills with a solid understanding of machine learning, statistics, probability theory, data structures and algorithms, and optimization Proven ability to translate executive and analytics leadership vision into actionable methods and analyses, with strong time management and presentation skills Seniority level
Mid-Senior level Employment type
Full-time Job function
Engineering and Information Technology Industries
Utilities Referrals increase your chances of interviewing at Constellation by 2x Get notified about new Data Scientist jobs in Kennett Square, PA.
#J-18808-Ljbffr