Data Scientist (Entry Level)

Ready to make a difference

We are seeking a motivated Data Scientist to join our Energy Analytics this role you will support client-facing projects that accelerate the transition to a smarter cleaner electric grid. Youll work across the full data pipelinefrom engineering and analysis to visualizationwhile 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 entry-level role ideal for candidates with a masters degree in data science or a related field and <1 year of professional experience including internships.

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)

What you will be doing:

• Support client projects across energy electrification and DER domains through:

  • 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

What we need you to have (minimum qualifications):

• Bachelors degree in Data Science Computer Science Engineering Statistics or a related field

What wed like you to have:

• Masters 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

• Excellent communication and organizational skills to support client meetings and deliverables and explain technical concepts/solutions to non-technical stakeholders

• Effective time management and ability to adapt to changing priorities

• Experience with large scale data analytics frameworks such as Apache Spark

• Experience working with Azure Databricks and one 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.

Working at ICF

Pay Range - There are multiple factors that are considered in determining final pay for a position including but not limited to relevant work experience skills certifications and competencies that align to the specified role geographic location education and certifications as well as contract provisions regarding labor categories that are specific to the position.

The pay range for this position based on full-time employment is: