Sr Data Scientist

Exelon

PHILADELPHIA, PA

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JOB DETAILS

SALARY

SKILLS

Algorithms, Analysis Skills, Apache Hadoop, Apache Spark, Artificial Intelligence (AI), Best Practices, Big Data, Billing, Business Development, Business Practices, Business Strategy, Business Support, Communication Skills, Community Support, Community and Social Services, Compensation and Benefits, Computer Programming, Computer Science, Computer Systems, Customer Experience, Customer/Client Research, Data Analysis, Data Cleaning, Data Collection, Data Mining, Data Modeling, Data Science, Data Sets, Data Structures, Data Visualization, Data Warehousing, Database Administration, Dental Insurance, Electricity, Energy & Utilities, File Systems, Financial Operations, Google Analytics, Information Architecture, Information Retrieval, Internet of Things, Machine Learning, Marketing Strategy, Mathematics, Mine Development, Multimedia, Needs Assessment, Open Source, Operating Systems, Operational Improvement, Operations Research, Optimization Algorithm, Oracle Database, Outbound Marketing, Performance Management, Physics, Power Outages, Predictive Modeling, Presentation/Verbal Skills, Probability Theory, Problem Solving Skills, Process Improvement, Program Planning, Project/Program Management, Publications, Python Programming/Scripting Language, R Programming Language, SQL (Structured Query Language), Scala Programming Language, Scientific Method, Smart Grid, Statistical Modeling, Statistics, Strategic Planning, Structured Data, Time Management, Training Data Sets, Training/Teaching, Unix Operating Systems, Vision Plan, Writing Skills

LOCATION

PHILADELPHIA, PA

POSTED

5 days ago

Who We Are

We're powering a cleaner, brighter future.

Exelon is leading the energy transformation, and we're calling all problem solvers, innovators, community builders and change makers. Work with us to deliver solutions that make our diverse cities and communities stronger, healthier and more resilient.

We're powered by purpose-driven people like you who believe in being inclusive and creative, and value safety, innovation, integrity and community service. We are a Fortune 200 company, 20,000 colleagues strong serving more than 10.7 million customers at six energy companies -- Atlantic City Electric (ACE), Baltimore Gas and Electric (BGE), Commonwealth Edison (ComEd), Delmarva Power & Light (DPL), PECO Energy Company (PECO), and Potomac Electric Power Company (Pepco).

We're committed to creating an environment where every person can thrive. Our employee experience is grounded in four tenets that guide how we support our people: purposeful careers, growth opportunities, community impact, and support to thrive.

In our relentless pursuit of excellence, we elevate diverse voices, fresh perspectives and bold thinking. And since we know transforming the future of energy is hard work, we provide competitive compensation, incentives, excellent benefits and the opportunity to build a rewarding career.

Are you in?

Primary Purpose

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. 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. Become 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. Position may be required to work extended hours for coverage during storms or other energy delivery emergencies.

Primary Duties

PRIMARY DUTIES AND ACCOUNTABILITIES

+ Develop key predictive models that lead to delivering a premier customer experience, operating performance improvement, and increased safety best practices. Develop and recommend data sampling techniques, data collections, and data cleaning specifications and approaches. Apply missing data treatments as needed. (25%)

+ 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%)

+ 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. (20%)

Job Scope

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.

Minimum Qualifications

MINIMUM QUALIFICATIONS

+ Education: Bachelor's degree in a Quantitative discipline. Ex: Applied Mathematics, Computer Science, Finance, Operations Research, Physics, Statistics, or related field

+ 4-7 years of relevant experience developing hypotheses, applying machine learning algorithms, validating results to analyze multi-terabyte datasets and extracting 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.). 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

PREFERRED QUALIFICATIONS

+ Education: Masters, or PhD in a Quantitative discipline. Ex: Applied Mathematics, Computer Science, Finance, Ops Research, Physics, Statistics, or related field

+ Proven expertise in DAP, Google Analytics 4, Google Tag Manager, Google BigQuery, and Oracle SQL Developer. Skilled in translating complex digital channel data into actionable insights that optimize customer journeys, enhance operational efficiency, and drive data-driven decision-making through strong collaboration with business and technology stakeholders.

+ Experience: Prior exposure to data structures pertaining to smart-meters, billing, or outage management systems. Prior exposure to the utilities or broader energy sector. Prior exposure to the full spectrum of data science lifecycle, including data acquisition, maintenance, processing, analysis, and communication.

+ 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, SQL, etc), and experience developing in a Unix environment. Proficiency in database management and large datasets: create, edit, update, join, append and query data from columnar and big data platforms.

+ Communication Skills: Ability to translate executive and analytics leaders' vision and guidance into methods and analytics. Strong time management and presentation skills.

Benefits

+ Annual salary will vary based on a candidate’s skills, qualifications, experience, and other factors: $104,000.00/Yr. – $143,000.00/Yr.

+ Annual Bonus for eligible positions: 15%

+ 401(k) match and annual company contribution

+ Medical, dental and vision insurance

+ Life and disability insurance

+ Generous paid time off options, including vacation, sick time, floating and fixed holidays, maternity leave and bonding/primary caregiver leave or parental leave

+ Employee Assistance Program and resources for mental and emotional support

+ Wellbeing programs such as tuition reimbursement, adoption and surrogacy assistance and fitness reimbursement

+ Referral bonus program

+ And much more

Note: Exelon-sponsored compensation and benefit programs may vary or not apply based on length of service, job grade, job classification or represented status. Eligibility will be determined by the written plan or program documents.
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. If you are an individual with a disability and need an accommodation to complete the application, please email us at DandI@exeloncorp.com.

About the Company

Exelon

At Exelon Generation, 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 Generation. We have exciting opportunities in IL, NY, PA and MD.

COMPANY SIZE

10,000 employees or more

INDUSTRY

Other/Not Classified

WEBSITE

https://www.exeloncorp.com/

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