Data Scientist

About the role

Data Scientist

📍 Location: Philadelphia, PA, US

🏢 Industry: Bussiness consulting and services

💼 Work Setting: Hybrid

Are you a data-driven problem solver who enjoys transforming complex datasets into business insights and actionable recommendations?

We are seeking a Data Analyst / Analytics Consultant to support utility and energy-sector clients through advanced analytics, data science, business intelligence, and AI-enabled solutions. This role combines technical analytics expertise with client-facing consulting responsibilities to help organizations make better decisions, optimize operations, and achieve strategic objectives.

The ideal candidate combines expertise in data analytics, Python, SQL, business intelligence, visualization, cloud analytics platforms, and stakeholder engagement with the ability to translate complex technical findings into meaningful business outcomes.

Key Responsibilities

Data Analysis & Advanced Analytics

Analyze large and complex datasets to identify trends, opportunities, and business insights.

Apply analytical techniques to solve operational, strategic, and customer-focused challenges.

Develop data-driven recommendations that support business decision-making.

Perform exploratory and diagnostic analysis to uncover root causes and performance drivers.

Support quantitative analysis across utility and energy-sector programs.

Analytical Solution Development

Design and develop analytical solutions using modern tools and technologies, including:

Python

R

SQL

Snowflake

Databricks

Power BI

GIS Platforms

Build scalable analytics workflows and reusable analytical frameworks.

Support end-to-end solution development from concept through deployment.

Ensure analytical outputs are accurate, reliable, and actionable.

Client Consulting & Stakeholder Engagement

Work directly with utility clients and subject matter experts.

Understand client business objectives and operational challenges.

Define:

Analytical Approaches

Technical Requirements

Success Metrics

Business Outcomes

Provide consultative guidance on data-driven decision-making.

Build trusted relationships with stakeholders throughout project delivery.

Data Products & Decision Support Tools

Translate business requirements into:

Data Products

Analytical Models

Dashboards

Reporting Solutions

Decision-Support Applications

Develop user-friendly solutions that enable business teams to leverage data effectively.

Improve accessibility and usability of data insights.

Business Intelligence & Visualization

Create dashboards and visualizations that communicate insights clearly.

Develop reports that support operational and executive decision-making.

Present complex findings in an understandable format.

Enable business users to monitor performance through data-driven tools.

Support self-service analytics initiatives.

AI & Advanced Technologies

Contribute to the design and implementation of AI-enabled solutions.

Apply advanced analytical methods to support business innovation.

Explore opportunities involving:

Machine Learning

Predictive Analytics

Optimization Models

Geospatial Analytics

Cloud-Based Analytics Platforms

Support modernization of data and analytics capabilities.

Data Engineering & Data Management

Work with large-scale structured and unstructured datasets.

Support data preparation, transformation, and integration activities.

Ensure data quality and consistency.

Collaborate with technical teams on data architecture and analytics solutions.

Support scalable analytical environments and workflows.

Presentation & Communication

Present findings, insights, and recommendations to:

Clients

Business Leaders

Technical Teams

Project Stakeholders

Translate technical concepts into business-focused language.

Help clients understand risks, opportunities, and recommended actions.

Support client confidence in data-driven strategies.

Qualifications

Education

Required

Bachelor's Degree in:

Data Science

Analytics

Statistics

Mathematics

Operations Research

Computer Science

Information Systems

Engineering

Economics

Related Quantitative Field

Experience

Required

1+ years of professional experience in:

Data Analytics

Data Science

Business Intelligence

Quantitative Analysis

Analytics Consulting

Experience solving business problems using data-driven methodologies.

Experience working with large and complex datasets.

Technical Skills

Programming & Analytics

Python

SQL

R

Statistical Analysis

Data Modeling

Data Visualization

Data Platforms

Snowflake

Databricks

Cloud Analytics Platforms

Data Warehousing Solutions

Business Intelligence

Power BI

Tableau

Dashboard Development

Reporting & Visualization

Geospatial Analytics

GIS Applications

Spatial Analysis

Mapping & Visualization

Preferred Qualifications

Industry Experience

Utilities

Electric Utilities

Natural Gas Utilities

Water Utilities

Energy Sector Organizations

Business Knowledge

Familiarity with:

Customer Programs

Distributed Energy Resources (DERs)

Electrification Initiatives

Asset Management

Utility Operations

Regulatory Planning

Advanced Analytics

Artificial Intelligence

Machine Learning

Optimization Techniques

Geospatial Analytics

Cloud Data Engineering

Consulting Experience

Client-Facing Consulting

Stakeholder Management

Business Requirements Gathering

Analytical Solution Delivery

Core Competencies

Data Analytics

Business Intelligence

Data Science

Python

SQL

Power BI

Snowflake

Databricks

GIS Analytics

Data Visualization

Machine Learning

Consulting

Client Engagement

Problem Solving

Decision Support