Assoc Data Scientist

Exelon • Lombard, IL

11h • Hybrid

About The Position

Exelon is leading the energy transformation and is seeking problem solvers, innovators, community builders, and change makers to deliver solutions that make diverse cities and communities stronger, healthier, and more resilient. Exelon is a Fortune 200 company with 20,000 colleagues serving over 10.7 million customers across six energy companies. The company is committed to creating an environment where every person can thrive, focusing on purposeful careers, growth opportunities, community impact, and support to thrive. Exelon values diverse voices, fresh perspectives, and bold thinking, and offers competitive compensation, incentives, excellent benefits, and the opportunity to build a rewarding career. This role involves applying the scientific method to extract knowledge and insights from various data sets, training algorithmic models, and implementing them into a production environment. It requires close collaboration with internal stakeholders, understanding business needs, and validating findings with business stakeholders. The successful candidate will become a subject matter expert in AI, machine learning, feature engineering, and high-performance computing, demonstrating commitment to continuous learning and sharing knowledge. The role requires adopting established working processes and toolkits while growing knowledge of the utilities industry. The position may require extended hours during storms or energy delivery emergencies.

Requirements

• 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
• Intern experience in a data science position or 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.
• Demonstratable experience in your analytics/statistics/visualization platform of choice, but preferably in the MS Azure suite as well as Python, SQL. using big data technologies like Spark, Dask, etc.
• 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.

Nice To Haves

• Master's from a leading program in a Quantitative discipline
• Prior exposure to data structures pertaining to smart-meters, billing, or outage management systems.
• Prior exposure to the utilities or broader energy sector.
• Solid understanding of relevant theories in machine learning, statistics, probability theory, data structures and algorithms, optimization, etc.
• Expert level coding skills (Python, R, Scala, etc), and experience developing in a Unix environment.
• 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.
• Experience with Python, SQL, PowerBi, PowerApp

Responsibilities

• Develop key predictive models that lead to delivering a premier customer experience, operating performance improvement, and increased safety best practices.
• 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.
• Provide expert data and analytics support to multiple business units.
• Access and enrich data warehouses across multiple Company departments.
• Build, modify, monitor and maintain high-performance computing systems.
• 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.

Benefits

• Annual salary will vary based on a candidate’s skills, qualifications, experience, and other factors: $59,200.00/Yr. – $81,400.00/Yr.
• Annual Bonus for eligible positions: 7%
• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level