Ready to make a difference?

Are you ready to help utilities across North America move towards creating the Grid of the Future? 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 an Associate 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 load management, grid modeling and distributed energy resource sectors. You will be an integral member of our agile team responsible for the creation and development of Data Science & Machine Learning tools in the energy industry. 

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:  

• Conduct exploratory data analysis such as statistical analysis, hypothesis testing and statistical inference to identify actionable insights

• Building forecasting and continuous learning models to help optimize the dispatch of smart thermostats, BTM batteries, EV managed charging, and smart hot water heaters for demand response (DR) programs

• Coding robust models using Python to solve critical client challenges and develop internal tools  

• Collaborate with the data engineering and visualization teams for client deliverables   

• Develop tools and processes on the cloud to scale data analysis

• Engage with external partners and trade allies to obtain, clean, and interpret data related to all aspects of the energy industry

What we need you to have (minimum qualifications):

• Bachelor’s degree in data science, statistics, computer science, management information systems, or related field

What we would like you to have:  

• Master’s degree in data science, statistics, computer science, management information systems, or related field

• 2+ years of experience in a data science role (applicants can replace work experience for a master’s degree)

• Experience in open-source data science languages, including Python

• Experience popular python data science libraries such as Pandas, NumPy and Matplotlib

• A portfolio of Data Science/ML projects that can be shared with the hiring manager

• Knowledge of geospatial data processing and analysis, including experience with GIS software (e.g., QGIS) and libraries (e.g., geopandas)

• Experience with Azure, particularly Azure Databricks for scalable data processing and machine learning

• Experience writing complex SQL queries

• Experience with git

• Ability to work independently and as part of a team on multiple tasks

• Excellent oral and written communication skills

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 Candidateaccommodation@icf.com 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 here: Requesting an Accommodation for the ICF interview process.

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 based on full-time employment is: