Data Scientist

Brooksource; Philadelphia (Philadelphia County); Hybrid; USD 100,000 - 130,000; Full time

Job summary

A leading analytics firm is seeking a Senior Data Scientist specialized in utilities and energy. The role involves developing predictive models to enhance customer experience and operational efficiency. Candidates should possess a quantitative degree and 4–7 years of real-world experience using machine learning and advanced analytics. Ideal skills include Python and advanced SQL, alongside excellent communication capabilities to translate complex data insights into actionable business strategies. This is a hybrid position located in Philadelphia.

Qualifications

• 4–7 years of experience applying machine learning and advanced analytics to large datasets.
• Strong programming skills in Python, R, or Scala.
• Hands-on experience developing predictive analytics solutions.

Responsibilities

• Develop predictive models that enhance customer experience, operational efficiency, and safety.
• Analyze large, complex datasets using modern analytics frameworks.
• Collaborate with stakeholders to translate business problems into data science solutions.

Skills

Machine learning

Data analysis

Programming (Python, R, Scala)

Advanced SQL

Communication skills

Education

Bachelor’s degree in a quantitative field

Tools

Spark

Hadoop

Job description

Senior Data Scientist (Utilities / Energy Focus)

Hybrid

We are seeking a Senior Data Scientist to support advanced analytics and machine learning initiatives that improve operational performance, customer experience, and safety across a large-scale utility environment. This role blends hands‑on modeling, large‑scale data analysis, and strategic advisory work with business stakeholders.

This is an opportunity to apply predictive analytics to real‑world infrastructure challenges using complex, high‑volume operational data.

Role Overview

The Senior Data Scientist will develop predictive models and advanced analytical solutions that drive business and operational improvements. This individual will partner closely with business leaders, engineers, and technology teams to translate data‑driven insights into actionable strategies.

The ideal candidate combines strong technical depth with the ability to communicate findings clearly to non‑technical audiences and leadership.

Key Responsibilities

• Develop predictive models that enhance customer experience, operational efficiency, and safety performance
• Design data sampling strategies, data collection methods, and data cleansing approaches
• Analyze large, complex datasets using modern analytics frameworks and tools
• Access and integrate data from multiple enterprise systems of record
• Support the development of strategic business, marketing, and operational initiatives through data‑driven insights
• Enrich and maintain data warehouse environments and support high‑performance computing needs
• Partner with business stakeholders and subject matter experts to translate business problems into data science solutions
• Present analytical findings and recommendations to business leaders and executives
• Collaborate with cross‑functional analytics teams to improve tools, techniques, and analytical capabilities

Required Qualifications

• Bachelor’s degree in a quantitative field such as Computer Science, Applied Mathematics, Statistics, Physics, Operations Research, or a related discipline
• 4–7 years of experience applying machine learning and advanced analytics to large datasets
• Strong programming skills in one or more languages such as Python, R, or Scala
• Advanced SQL skills and experience working with large, columnar, or distributed data platforms
• Experience working in Unix or Linux‑based environments
• Hands‑on experience developing and deploying predictive analytics solutions
• Strong understanding of machine learning, statistical modeling, probability, and optimization
• Ability to translate technical analysis into clear business insights and recommendations
• Strong written and verbal communication skills

Preferred Qualifications

• Experience working with smart meter, billing, outage management, or other utility/energy datasets
• Exposure to the full data science lifecycle, including data acquisition, processing, modeling, and communication
• Experience with big data technologies such as Spark and Hadoop
• Background in utilities, energy, or other large‑scale operational industries

Eight Eleven Group provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, national origin, age, sex, citizenship, disability, genetic information, gender, sexual orientation, gender identity, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state, and local laws.