ComEd
Overview
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 are a Fortune 200 company, 19,000 colleagues strong serving more than 10 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). In our relentless pursuit of excellence, we elevate diverse voices, fresh perspectives and bold thinking. 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. Primary Purpose The Senior Data Scientist at ComEd will 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.
Responsibilities
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.
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, marketing, 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. Work closely with business, engineering, and technology teams to develop solutions to data-intensive business problems and translate them into data science projects. Collaborate with other analytic teams across Exelon on big data analytics techniques and tools to improve analytical capabilities.
Qualifications
Education: Bachelor\'s degree in a quantitative discipline (e.g., 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 on multi-terabyte datasets, and extracting actionable insights.
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: experience developing and deploying predictive analytics projects using Python, R, Scala, etc.; experience in open source environments and Unix-based OS.
Communication skills: ability to translate data analysis into coherent conclusions and actionable recommendations to business partners, practice leaders, and executives; strong written and verbal communication.
Preferred Qualifications
Masters or PhD in a quantitative discipline (e.g., Applied Mathematics, Computer Science, Finance, Ops Research, Physics, Statistics, or related field).
Experience with smart-meter, billing, or outage management data; utilities or energy sector exposure; full data science lifecycle.
Solid understanding of theories in machine learning, statistics, probability, data structures and algorithms, optimization.
Expert coding skills (Python, R, Scala, SQL) in a Unix environment; proficiency with large datasets and data platforms.
Ability to translate executive vision into methods and analytics; strong time management and presentation skills.
Benefits
Annual salary: $104,000.00/Yr. – $143,000.00/Yr. (varies by skills and experience); 15% annual bonus for eligible positions.
403(b)/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, parental leave
Employee Assistance Program and mental health resources
Wellbeing programs including tuition reimbursement and related support
Referral bonus program
Note: Exelon-sponsored compensation and benefit programs may vary based on length of service, job grade, job classification or represented status. Eligibility will be determined by the written plan or program documents.
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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 are a Fortune 200 company, 19,000 colleagues strong serving more than 10 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). In our relentless pursuit of excellence, we elevate diverse voices, fresh perspectives and bold thinking. 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. Primary Purpose The Senior Data Scientist at ComEd will 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.
Responsibilities
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.
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, marketing, 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. Work closely with business, engineering, and technology teams to develop solutions to data-intensive business problems and translate them into data science projects. Collaborate with other analytic teams across Exelon on big data analytics techniques and tools to improve analytical capabilities.
Qualifications
Education: Bachelor\'s degree in a quantitative discipline (e.g., 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 on multi-terabyte datasets, and extracting actionable insights.
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: experience developing and deploying predictive analytics projects using Python, R, Scala, etc.; experience in open source environments and Unix-based OS.
Communication skills: ability to translate data analysis into coherent conclusions and actionable recommendations to business partners, practice leaders, and executives; strong written and verbal communication.
Preferred Qualifications
Masters or PhD in a quantitative discipline (e.g., Applied Mathematics, Computer Science, Finance, Ops Research, Physics, Statistics, or related field).
Experience with smart-meter, billing, or outage management data; utilities or energy sector exposure; full data science lifecycle.
Solid understanding of theories in machine learning, statistics, probability, data structures and algorithms, optimization.
Expert coding skills (Python, R, Scala, SQL) in a Unix environment; proficiency with large datasets and data platforms.
Ability to translate executive vision into methods and analytics; strong time management and presentation skills.
Benefits
Annual salary: $104,000.00/Yr. – $143,000.00/Yr. (varies by skills and experience); 15% annual bonus for eligible positions.
403(b)/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, parental leave
Employee Assistance Program and mental health resources
Wellbeing programs including tuition reimbursement and related support
Referral bonus program
Note: Exelon-sponsored compensation and benefit programs may vary based on length of service, job grade, job classification or represented status. Eligibility will be determined by the written plan or program documents.
#J-18808-Ljbffr