Senior Data Scientist — Predictive Analytics & ML in Energy

PECO; Philadelphia (Philadelphia County); On-site; USD 104,000 - 156,000; Full time

Benefits offered by this job

401(k) match

Medical, dental, and vision insurance

Life and disability insurance

Generous paid time off

Employee Assistance Program

Wellbeing programs

Referral bonus

Job summary

PECO in Philadelphia seeks a data science professional to apply the scientific method to extract insights from large-scale data and support business decisions and operational improvements.

You will build predictive models and analytics capabilities across structured, unstructured, and time-series data, collaborating with internal stakeholders to translate complex problems into actionable initiatives.

Qualifications

• Bachelor's degree in a quantitative field (e.g., Applied Mathematics, CS, Finance, OR, Physics, Statistics, or related).
• 4–7 years of experience in ML, data analysis, multi-terabyte datasets, and generating insights.
• Experience applying analytic techniques to large, complex datasets.
• Strong knowledge in at least two areas: ML/AI, statistical modeling, data mining, information retrieval, or data visualization.
• Proven experience deploying predictive analytics using Python, R, Scala, etc.
• Unix-based OS experience and open-source environment familiarity.
• Strong oral and written communication skills.

Responsibilities

• Develop predictive models to improve customer experience, operations, and safety practices.
• Design data sampling techniques, data collection approaches, and cleaning specs.
• Apply missing data treatments as needed.
• Use advanced analytics and modern frameworks including Spark/Hadoop.
• Access and analyze data from multiple systems to support strategic plans.
• Enrich data warehouses and build/maintain HPC systems.
• Provide expert data and analytics support to multiple business units.
• Collaborate with stakeholders to translate data problems into projects.
• Collaborate with Exelon analytics teams to apply big data techniques.
• Mine big and small data using time-series, structured, and unstructured data.
• Validate findings with business stakeholders and present outputs clearly.
• Serve as SME in AI, ML, feature engineering, data mining, and data manipulation/storage.
• Collect, cleanse, standardize, and analyze data from internal and external sources.
• Produce novel insights using statistical modeling and ML for terabytes/petabytes datasets.
• Support business unit planning with ML technology perspectives.
• Advise stakeholders on ML findings and actions.
• Educate stakeholders through presentations, workshops, and publications.
• May work extended hours during storms or emergencies.

Skills

Machine learning

Statistical modeling

Data mining

Python

R

SQL

Communication skills

Education

Bachelor's degree in a quantitative field

Master's degree or PhD (preferred)

Tools

Spark

Hadoop

Azure

Unix

Scala

Time-series tools

Job description

PECO in Philadelphia seeks a data science professional to apply the scientific method to extract insights from large-scale data and support business decisions and operational improvements.

You will build predictive models and analytics capabilities across structured, unstructured, and time-series data, collaborating with internal stakeholders to translate complex problems into actionable initiatives.