Data Scientist, IT

Who We Are

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.

Total Rewards

Constellation offers an extensive selection of benefits and rewards to help our employees thrive professionally and personally. We provide competitive compensation and a wide-range of benefits that support both employees and their families, helping them prepare for the future. In addition to highly competitive salaries, eligible employees are offered a bonus program, 401(k) with company match, employee stock purchase program; comprehensive medical, dental and vision benefits, including robust wellbeing programs; disability and life insurance benefits; paid time off for vacation, holidays, and sick days; and much more.

Expected salary range of $91,800 to $102,000, 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 (relational data stores), and unstructured (text and multi-media) 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. This requires understanding business needs, providing and receiving regular feedback, and planning the proper transfer of developed solutions. Mine big and small data for insights, using advanced statistic and machine learning methods. Validate findings with the business by sharing analysis outputs in a way that can be understood by business stakeholders. Demonstrate commitment to continuous learning and professional development in technical subject matter.

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, 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.

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 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 and 2-years of relevant experience. OR Master's Degree in quantitative discipline

Relevant experience developing hypotheses, applying machine learning algorithms, validating results, and analyzing large datasets to extract actionable insights, including prior research or professional experience using advanced analytic techniques on large and complex datasets

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.).

Strong communication skills, both written and oral

Demonstrated ability to translate data analysis into clear conclusions and actionable recommendations for business partners, practice leaders, and executives

Preferred Qualifications

Strong analytical skills with a solid understanding of machine learning, statistics, probability theory, data structures and algorithms, and optimization

Technical Knowledge: 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

Excellent communication and negotiation skills

Demonstrated ability to meet critical deadlines and take accountability for task completion

Knowledge in at least two of the following areas: machine learning, artificial intelligence, statistical modeling, data mining, natural language processing, or data visualization. Foundational understanding of LLM concepts, prompt engineering, and AI application development.