Data Scientist/ Sr. Data Scientist

COMPANY OVERVIEW
As the nation's largest producer of clean, carbon-free energy, Constellation is a company purposely-built to meet the challenges of the climate crisis. Constellation has been the leader in clean energy production for more than a decade and we are growing our company and capabilities. Now, we're accelerating, speeding our low-carbon or no-carbon power to more people in more places, day and night, providing our customers and communities with options to buy, manage and use energy as part of their decarbonization mission. The race is on to confront the climate crisis and Constellation is ready to meet the challenge. Come join us as we lead energy, together.
TOTAL REWARDS
Constellation offers a wide range of benefits and rewards, designed to help our employees thrive professionally and personally. 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.
Sr. Data Scientist: Expected salary range of, $89,600 to $112,000 varies based on experience, along with comprehensive benefits package that includes bonus and 401(k).
Data Scientist: Expected salary range of $81,000 to $90,000, varies based on experience, along with comprehensive benefits package that includes bonus and 401(k).
This posting contains job description and minimum qualification for an Origination Sr. Data Scientist and a Data Scientist
Data Scientist
PRIMARY PURPOSE OF POSITION
Constellation is on a mission to be the leader to help combat climate change and we would like you to play a role in helping us achieve that goal. The mass markets data analytics team is responsible for translating data into insights to help Constellation grow its customer base and maximize profitability. In addition, you will help our customers utilize data to better manage their energy usage and meet their own carbon goals. You should be an effective communicator, aspiring, and able to drive insights into actions. You'll need to mine multiple sources of data, derive actionable insights, and translate complex results into simple conclusions that will help make Constellation the number one choice in energy management.
PRIMARY DUTIES AND ACCOUNTABILITIES

• Use an analytical, data-driven approach to help deliver analysis, insights and reporting that will influence business strategy and decisions
• Partner with marketing teams to deliver predictive models and customer facing analytics that improve customer engagement and profitability.
• Design & develop appropriate mechanisms for tracking & performance management (e.g., Power BI dashboards, reports)
• Undertake preprocessing of structured and unstructured data
• Contribute to ad hoc projects executed by the business analytics team by structuring data, conducting analyses, and synthesizing presentations or other report-outs.

MINIMUM QUALIFICATIONS
- Bachelor's or Master's degree in a quantitative field (e.g., Computer Science, Data Science, Applied Mathematics, Statistics, Business Intelligence, Operations Research, Engineering) - Understanding of statistical programming in a language such as R, Python, or SAS, SPSS, MATLAB. - Advanced SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases - Ability to look at things differently, debug, troubleshoot, design and implement solutions to complex technical issues - Excellent written and verbal communication skills - Highly motivated, self-learner, team player, and technically inquisitive - Data visualization
Sr. Data Scientist
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 Exelon on big data analytics techniques and tools to improve analytical capabilities.

MINIMUM QUALIFICATIONS

• Education: Bachelor's degree in a Quantitative discipline. Ex: Data Science, Data Analytics, Applied Mathematics, Statistics, Computer Science, Operations Research, or related field
• Experience: 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.
• 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 (Python, R, Scala, etc.).
• Communication Skills: 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.

PREFERRED QUALIFICATIONS

• Work or internship experience using data science tools in a corporate environment.
• Exposure to Cloud
• AWS, Azure, Google Could or IBM Cloud - Comfortable working in a fast-paced and highly collaborative environment.