Sr. Data Scientist

Constellation is focused on accelerating the transition to a carbon-free future as the nation's largest producer of clean, carbon-free energy. We have been the leader in clean energy production for more than a decade, and we are cultivating a workplace where our employees can grow, thrive, and contribute. Our culture and employee experience make it clear: We are powered by passion and purpose. Together, we're creating healthier communities and a cleaner planet, and our people are the driving force behind our success. TOTAL REWARDS Constellation offers a wide range of benefits and rewards to help our employees thrive professionally and personally. We provide competitive compensation and benefits that support both employees and their families, helping them prepare for the future. Expected salary range of $127,800 to $142,000, varies based on experience, along with 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 take the form of time-series, structured, and unstructured data sets. Closely collaborate with various internal stakeholders, information architects, data engineers, project/program managers, and other teams to turn data into critical information to inform decision making. Primary Duties And Accountabilities Develop key predictive models that lead to delivering reduced overall annual expense for nuclear, performance improvement, and optimize specific performance criteria. Analyze data using advanced analytics techniques in support of process improvement efforts using modern analytics frameworks. Access and analyze data sourced from various Company systems of record. Provide expert data and analytics support to multiple business units. Works with stakeholders and subject matter experts to understand business needs, goals and objectives. Minimum Qualifications Education: Bachelor's degree in a Quantitative discipline. Experience: Between 5-8 years of relevant experience developing hypotheses, applying machine learning algorithms, validating results to analyze large datasets and extract actionable insights. Analytical Abilities: Strong 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. Communication Skills: Ability to translate data analysis and findings into coherent conclusions and actionable recommendations. Preferred Qualifications Education: Masters, or PhD in a Quantitative discipline. Experience: Prior exposure to data structures pertaining to power generating plant-related equipment and systems, as well as organizational performance data related to the nuclear power industry. Analytic Abilities: Solid understanding of relevant theories in machine learning, statistics, probability theory, data structures and algorithms, optimization, etc. Technical Knowledge: Expert level coding skills. Communication Skills: Ability to translate executive and analytics leaders' vision and guidance into methods and analytics.

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