🚀 Principal Data Scientist, IT

Overview

Constellation is the nation’s largest producer of clean, carbon-free energy, focused on 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 is powered by passion and purpose, and together we’re creating healthier communities and a cleaner planet. Join us to lead the clean energy future.

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 statistics 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, 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.
• Work with stakeholders and subject matter experts to understand business needs, goals and objectives. Collaborate with business, engineering, and technology teams to develop data-intensive solutions and translate them into data science projects. Coordinate with other analytic teams across Constellation on big data analytics techniques and tools.

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

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Engineering and Information Technology

Industries

• Utilities

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