Transportation Electrification Data Scientist - Remote

Transportation Electrification Data Scientist
Location: Remote (Reston, VA -Preferred)

Ready to make a difference?

Are you an innovator and problem solver who can help bridge the gap between the future of our energy grid and analytics? Our team helps utilities modernize the electric grid by integrating the growing number of electric vehicles and other distributed energy resources (DERs) and exploring strategies to meet the energy needs of the 21st century. We are looking for a data scientist to be part of our analytics and product development team focused on building tools that will power and advise our clients with the most cutting-edge technology available in the transportation electrification, load management, and DER industries. You will be an integral member of our agile team responsible for the creation and development of unique applications and data products, using those tools to address client challenges.

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:

• Build robust models using Python to solve critical client challenges and develop internal tools
• Collaborate with the data engineering and visualization teams for client deliverables
• Compile data from publicly available sources and work with data engineering to prepare for analysis
• Stay abreast with policy changes that impact DERs and EV adoption
• Study the impact of DERs and EV charging infrastructure on the grid
• Engage with external partners and trade allies to obtain, clean, and interpret data related to EVs and charging infrastructure
• Support EV charging program operations, including data analysis and reporting
• Help to inform new and improved transportation electrification program design based on data analysis and trends
• Collaborate with program team members and cross-functional teams to support program success and learning
• Analyze market trends, partners, and technologies as projects and clients require

What we need you to have (minimum qualifications):

• Bachelor’s degree in data science, statistics, computer science, management information systems, or related field
• 4+ years of experience in open-source data science languages, including Python or related work experience
• 2+ years of experience in the energy or electrification industry

What we would like you to have:

• Master’s degree in data science, statistics, computer science, management information systems, or related field
• Experience with statistical data analysis, experimental design, and hypothesis validation
• Experience with data cleaning and standardization best practices; ability to efficiently prepare data for machine learning and predictive processes
• Applied experience in general application programming and database concepts including writing complex SQL scripts
• Self-motivated with the ability to work independently, remotely, and on projects with dynamic timelines
• Experience in open-source data science tools, including NumPy and Pandas
• Experience with data modeling, data warehouse/data mart design, development, and testing
• Experience with containerization platforms, such as Docker
• Experience with Azure DevOps
• Direct experience of building data pipelines using Azure Data Factory and Apache Spark (preferably Databricks)
• Azure certifications (e.g., Data Engineer Associate, Data Scientist Associate, Database Administrator Associate, Solutions Architect Expert)
• Experience with data visualization tools such as Microsoft Power BI or ArcGIS

Working at ICF

We can only solve the world's toughest challenges by building an inclusive workplace that allows everyone to thrive. We are an equal opportunity employer, committed to hiring regardless of any protected characteristic, such as race, ethnicity, national origin, color, sex, gender identity/expression, sexual orientation, religion, age, disability status, or military/veteran status. Together, our employees are empowered to share their expertise and collaborate with others to achieve personal and professional goals. For more information, please read our EEO & AA policy.

Reasonable Accommodations are available, including, but not limited to, for disabled veterans, individuals with disabilities, and individuals with sincerely held religious beliefs, in all phases of the application and employment process. To request an accommodation please email [email protected] and we will be happy to assist. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

Read more about workplace discrimination rights, the Pay Transparency Statement, or our benefit offerings which are included in the Transparency in (Benefits) Coverage Act.

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 is: