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PECO · 1 day ago

Sr Data Scientist

Philadelphia, PA

Full-time

Onsite

Mid, Senior Level

$104K/yr - $143K/yr

4+ years exp

PECO is a part of Exelon, a Fortune 200 company leading the energy transformation. The Sr Data Scientist will apply scientific methods to extract insights from various data types and collaborate with internal stakeholders to inform decision-making through advanced analytics and machine learning techniques.

Consumer ElectronicsElectronicsEnergyNatural ResourcesRenewable Energy

Growth Opportunities

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. (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%)

Qualification

Machine LearningStatistical ModelingData MiningPythonRScalaData VisualizationUnix-based OSPowerBIAnalytical AbilitiesCommunication SkillsTime Management

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

Education: 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 google big query and big data platforms. Proficient in PowerBI

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

Benefits

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

Company

PECO

Glassdoor4.2

Advancing smart energy to provide safe, reliable, affordable and clean energy and energy services for our customers and the communities we serve. With a history of more than 130 years of service to the Greater Philadelphia region, PECO has a long-standing commitment to a culture of excellence.

Founded in 1881

Philadelphia, Pennsylvania, USA

1001-5000 employees