Sr Data Scientist

Constellation Energy Generation, LLC.•Hurstbourne Acres, KY

About The Position

As the largest private-sector power producer in the world and the nation's largest producer of clean and reliable energy, Constellation is focused on our purpose: lighting the way to a brilliant tomorrow for all. 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. Now integrated with Calpine, our portfolio includes 55 gigawatts of capacity from nuclear, natural gas, geothermal, hydro, wind and solar facilities, with the generating capacity to power the equivalent of 27 million homes. 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. 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. Join us in meeting the country's energy needs today and tomorrow.

Requirements

Bachelor's degree in a Quantitative discipline. Ex: Data Science, Data Analytics, Applied Mathematics, Statistics, Computer Science, Operations Research, or related field
Between 5-8 years of relevant experience developing hypotheses, applying machine learning algorithms, validating results to analyze large datasets and extract actionable insights is required.
Previous research or professional experience applying advanced analytic techniques to large, complex datasets.
Strong knowledge in at least two of the following areas: machine learning, artificial intelligence, statistical modeling, data mining, information retrieval, or data visualization.
Proven experience in developing and deploying predictive analytics projects using one or more leading languages (Python, R, Scala, etc.).
Ability to translate data analysis and findings into coherent conclusions and actionable recommendations to business partners, practice leaders, and executives.
Strong oral and written communication skills.

Nice To Haves

Masters, or PhD in a Quantitative discipline.
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.
Prior exposure to the nuclear, power generation or broader energy sector.
Prior exposure to the full spectrum of data science lifecycle, including data acquisition, maintenance, processing, analysis, and communication.
Solid understanding of relevant theories in machine learning, statistics, probability theory, data structures and algorithms, optimization, etc.
Expert level coding skills (Python, R, Scala, SQL, etc)
Proficiency in database management and large datasets: create, edit, update, join, append and query data from columnar and big data platforms.
Ability to translate executive and analytics leaders' vision and guidance into methods and analytics.
Strong time management and presentation skills.
Experience in Databricks

Responsibilities

Develop key predictive models that lead to delivering reduced overall annual expense for nuclear, performance improvement, and optimize 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, or equivalent; Spark, Hadoop file system and others
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
Works with stakeholders and subject matter experts to understand business needs, goals and objectives.
Work closely with business, engineering, and technology teams to develop solution to data-intensive business problems and translates them into data science projects.
Collaborate with other analytic teams across Exelon on big data analytics techniques and tools to improve analytical capabilities.