Senior Data Scientist - Exelon (BSC) Analytics

Job Description

Description

At Exelon, we've got a place for you!

Join the nation's leading competitive energy provider, with one of the largest electricity generation portfolios and retail customer bases in the country. You will be part of a family of companies that strives for the highest standards of power generation, competitive energy sales, and energy delivery. Our team of outstanding professionals is focused on performance, thought leadership, innovation, and the power of ideas that come from a diverse and inclusive workforce.

Exelon will provide you the tools and resources you need to design, build and enhance a successful career. We are also dedicated to motivating the success of our employees through competitive base salary, incentives, and health and retirement benefits.

Join Exelon and share your passion at a forward-thinking Fortune 100 company. Establish yourself in a place where you can truly shine and create a brighter, more sustainable tomorrow. Energize your career at Exelon!


PRIMARY PURPOSE OF POSITION

Apply the scientific method to extract knowledge and insights from data, which may take the form of time-series (smart-meters, smart-grid, and other IoT), structured (relational data stores), and unstructured (text and multi-media) data sets.

Train state of the art algorithmical models, including but not limited to tree-based approaches and neural networks, and implement those models into a production environment following the established MLOps approaches.

Closely collaborate with various internal stakeholders, information architects, data engineers, project/program managers, and other teams to turn data into analytics-driven products and inform decision making.  This requires understanding business needs, providing and receiving regular feedback, and planning the proper transfer of developed solutions. Validate findings with the business by sharing analysis outputs in a way that can be understood by business stakeholders. 

Become a subject matter expert in the areas of artificial intelligence, machine learning, feature engineering, and high-performance computing. Demonstrate commitment to continuous learning and professional development in technical subject matter. Share knowledge with team members, and business stakeholders, and IT partners.

A successful candidate will quickly adopt the team’s established working processes and toolkit while growing his/her knowledge of the utilities industry.

Position may be required to work extended hours, including 24 x 7 coverage during storms or other energy delivery emergencies.

PRIMARY DUTIES AND ACCOUNTABILITIES

• Develop key predictive models that lead to delivering a premier customer experience, operating performance improvement, and increased safety best practices. 45%
• 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. 15%
• Access and analyze data sourced from various Company systems of record Support the development of strategic business, marketing, and program implementation plans. 15%
• Access and enrich data warehouses across multiple Company departments.
• Build, modify, monitor and maintain high-performance computing systems. 5%
• Provide expert data and analytics support to multiple business units. 20%

JOB SCOPE

• Support business unit strategic planning while providing a strategic view on machine learning technologies.
• Advice and counsel key stakeholders on machine learning findings and recommend courses of action that redirect resources to improve operational performance or assist with overall emerging business issues.
• Provide key stakeholders with machine learning analyses that best positions the company going forward.
• Educate key stakeholders on the organizations advance analytics capabilities through internal presentations, training workshops, and publications.

Qualifications

MINIMUM QUALIFICATIONS

Education: Bachelor’s or Master’s degree from a leading program in a Quantitative discipline. Ex: Applied Mathematics, Computer Science, Finance, Operations Research, Physics, Statistics, or related field
Experience: Between 5-8 years of relevant experience analyzing multi-terabyte datasets is required.  Previous research or professional experience applying advanced analytic techniques to large, complex datasets.  Minimum of 1-2 years of professional experience in a data scientist role.
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: Demonstratable experience in your analytics/statistics/visualization platform of choice, but preferably in the MS Azure suite as well as  Python, SQL. Experience developing in Unix, using big data technologies like Spark, Dask, etc. Experience working within an open source environment and Unix-based OS.
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

Education: PhD from a leading program in a Quantitative discipline.
Experience: Prior exposure to data structures pertaining to smart-meters, billing, or outage management systems. Prior exposure to the utilities or broader energy sector.
Analytic Abilities: Solid understanding of relevant theories in machine learning, statistics, probability theory, data structures and algorithms, optimization, etc.
Technical Knowledge: Expert level coding skills (Python, R, Scala, etc), and experience developing in a Unix environment.
Communication Skills: Ability to translate executive and analytics leaders vision and guidance into methods and analytics.  Strong time management and presentation skills. Experience presenting to diverse audiences including presenting to conferences and business symposia.

Exelon 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.

VEVRAA Federal Contractor