Data Scientist

• 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