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Senior Data Scientist
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Jobright.ai Get AI-powered advice on this job and more exclusive features. Exelon is leading the energy transformation and is seeking a Senior Data Scientist at ComEd. The role involves applying scientific methods to extract insights from various data sets, collaborating with stakeholders to inform decision-making, and developing predictive models to enhance customer experience and operational performance. 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 • 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. • 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: Required: • 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. • Strong knowledge in at least two of the following areas: machine learning, artificial intelligence, statistical modeling, data mining, information retrieval, or data visualization. • 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. • 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: • Masters, or PhD in a Quantitative discipline. Ex: Applied Mathematics, Computer Science, Finance, Ops Research, Physics, Statistics, or related field • 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. • Solid understanding of relevant theories in machine learning, statistics, probability theory, data structures and algorithms, optimization, etc. • 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. • Ability to translate executive and analytics leaders' vision and guidance into methods and analytics. Strong time management and presentation skills. Company: Exelon Corporation is a utility services holding company that provides services for energy generation businesses in the United States. Founded in 1999, the company is headquartered in Chicago, Illinois, USA, with a team of 10001+ employees. The company is currently Public Company. Exelon has a track record of offering H1B sponsorships. Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Industries Software Development Referrals increase your chances of interviewing at Jobright.ai by 2x Inferred from the description for this job
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Senior Data Scientist
role at
Jobright.ai 1 day ago Be among the first 25 applicants Join to apply for the
Senior Data Scientist
role at
Jobright.ai Get AI-powered advice on this job and more exclusive features. Exelon is leading the energy transformation and is seeking a Senior Data Scientist at ComEd. The role involves applying scientific methods to extract insights from various data sets, collaborating with stakeholders to inform decision-making, and developing predictive models to enhance customer experience and operational performance. 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 • 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. • 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: Required: • 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. • Strong knowledge in at least two of the following areas: machine learning, artificial intelligence, statistical modeling, data mining, information retrieval, or data visualization. • 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. • 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: • Masters, or PhD in a Quantitative discipline. Ex: Applied Mathematics, Computer Science, Finance, Ops Research, Physics, Statistics, or related field • 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. • Solid understanding of relevant theories in machine learning, statistics, probability theory, data structures and algorithms, optimization, etc. • 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. • Ability to translate executive and analytics leaders' vision and guidance into methods and analytics. Strong time management and presentation skills. Company: Exelon Corporation is a utility services holding company that provides services for energy generation businesses in the United States. Founded in 1999, the company is headquartered in Chicago, Illinois, USA, with a team of 10001+ employees. The company is currently Public Company. Exelon has a track record of offering H1B sponsorships. Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Industries Software Development Referrals increase your chances of interviewing at Jobright.ai by 2x Inferred from the description for this job
Medical insurance Vision insurance 401(k) Get notified when a new job is posted. Sign in to set job alerts for “Data Scientist” roles.
Chicago, IL $100,000.00-$147,500.00 22 hours ago Chicago, IL $85,000.00-$120,000.00 3 hours ago Chicago, IL $73,500.00-$85,000.00 13 hours ago Chicago, IL $123,500.00-$212,850.00 3 months ago Artificial Intelligence/Machine Learning (AI/ML) Engineer
Chicago, IL $135,000.00-$175,000.00 6 days ago Chicago, IL $123,500.00-$212,850.00 3 months ago Chicago, IL $70,000.00-$100,000.00 1 week ago Chicago, IL $123,500.00-$212,850.00 2 months ago Chicago, IL $123,500.00-$212,850.00 1 month ago Data Scientist/Python/ML/All Levels/Chicago
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Data Scientist - Supply Chain Optimization
Rosemont, IL $75,000.00-$120,000.00 1 week ago Chicago, IL $75,000.00-$93,000.00 1 week ago Chicago, IL $133,000.00-$287,800.00 2 weeks ago Naperville, IL $116,334.00-$118,000.00 2 months ago Northbrook, IL $72,900.00-$96,200.00 1 week ago Chicago, IL $93,840.00-$140,760.00 22 hours ago Chicago, IL $197,000.00-$291,000.00 6 days ago Chicago, IL $100,000.00-$120,000.00 1 week ago Chicago, IL $88,800.00-$165,600.00 2 weeks ago Chicago, IL $106,400.00-$178,100.00 5 days ago Chicago, IL $160,000.00-$175,000.00 2 weeks ago Chicago, IL $106,400.00-$178,100.00 5 days ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
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