Who We Are
As the nation's largest producer of clean, carbon-free energy, Constellation is focused on our purpose: accelerating the transition to a carbon-free future. 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. 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 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. In addition to highly 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 much more.
Expected salary range of $150,300 to $167,000, 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 (power plant equipment data, environmental data or other), 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. Fill role of a subject matter expert in the areas of 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, and business stakeholders, and IT partners. Collect, cleanse, standardize and analyze data from a variety of internal and external sources. Produce novel insights to help inform business actions using statistical modeling and machine learning techniques on complex data-sets on the order of several terabytes or petabytes.
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.
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 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 the 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 large datasets: create, edit, update, join, append and query data from columnar and big data platforms
Prior exposure to the full spectrum of 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
Constellation is proud to be an equal opportunity employer and employees or applicants will receive consideration for employment without regard to: age, color, disability, gender, national origin, race, religion, sexual orientation, gender identity, protected veteran status, or any other classification protected by federal, state, or local law.
