
Data Scientist
- Reston, VA
- $81,094-137,860 per year
- Permanent
- Full-time
Location: Remote - USReady to make a difference?
We are seeking a motivated Data Scientist to join our Energy Analytics team. In this role, you will support client-facing projects that accelerate the transition to a smarter, cleaner electric grid. You’ll work across the full data pipeline—from engineering and analysis to visualization—while engaging directly with clients and project managers to implement high-impact solutions in distributed energy resources (DER), electric vehicle (EV) integration, and load flexibility.
This is a hands-on role ideal for candidates with a master's degree in data science or a related field and 2+ years of experience who are excited to apply their skills across multiple tools and workstreams.Reasons why you will love working here:
- Quality of life: Flexible workplace arrangements, work-life balance
- Investment of the community: Donation matching, volunteer opportunities
- Investment in you: Tuition reimbursement, access to professional development resources, 401k matching, Employee Stock Purchase Plan
- And many, many more (ask your recruiter for more details)
- Data Engineering: Ingest, clean, and transform large datasets using Python, SQL, and Databricks
- Data Science & Analytics: Conduct exploratory analysis, build analytical models, and generate actionable insights
- Data Visualization: Develop clear, compelling dashboards and reports in Power BI and Microsoft Fabric
- Attend regular client meetings and collaborate with project managers to understand goals, manage timelines, and incorporate feedback
- Translate client requirements into well-structured analytics tasks and deliverables
- Write clean, maintainable, and well-documented code while optimizing workflows for performance and scalability
- Manage and prioritize a diverse set of technical assignments across multiple projects
- Work with cross-functional teams including data engineers, scientists, and policy experts to ensure high-quality client deliverables
- Stay up to date on tools, trends, and best practices in energy analytics and visualization
- Master’s degree in Data Science, Computer Science, Engineering, Statistics, or a related field
- 2+ years of professional or academic experience working with data pipelines, analysis, or dashboards
- Proficiency in Python and SQL
- Experience using Databricks, Power BI, or similar tools for data modeling and visualization
- Must be able to pass a background check and drug screening.
- Experience with large scale data analytics frameworks such as Apache Spark
- Experience working with Azure Databricks
- 1 or more Azure specialty certifications (SysOps Administrator, Security, Advanced Networking, DevOps Engineer, Administration, Architecture)
- Proficiency in working with tools such as Docker and Kubernetes
- Proficiency with cloud networking (DNS, TCP, Firewalls, Proxy Servers, Load Balancing, VPN, and VPC), storage, security, and compute * Experience working with and supporting Agile development teams.
- Ability to learn quickly, understand, and work with new emerging technologies, methodologies, and solutions in the cloud/IT technology space.
- Excellent communication and organizational skills to support client meetings and deliverables
- Effective time management and ability to adapt to changing priorities
- The ability to work closely with and explain technical concepts/solutions to non-technical client stakeholders.