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Description

Data Scientist

Preferred Locations: Colorado, Washington DC, Maryland and Virginia

Ready to Make a Difference?

We are seeking a skilled and motivated Data Scientist to join our team supporting energy efficiency and load management programs for utilities. This role will focus on maintaining and enhancing predictive analytics models, while also driving new analytical insights to inform program strategy and performance.

The ideal candidate will apply advanced statistical and computational methodologies and integrate these analyses into supporting IT systems to help achieve business objectives. Responsibilities include analyzing large datasets—spanning customer behavior, energy usage, and marketing performance to identify appropriate statistical techniques, develop and execute code, validate outputs, and produce technical reports. This individual will collaborate closely with computer scientists, data researchers, and business stakeholders in a dynamic, fast-paced environment.

Why you will love working here:

+ **Quality of life:** Flexible workplace arrangements, work-life balance

+ **Investment in 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:

+ Maintain and improve predictive models used in utility energy efficiency and load management programs

+ Design and conduct new analyses to uncover actionable insights from large, complex datasets

+ Collaborate with cross-functional teams to translate business needs into data-driven solutions

+ Develop and deploy data pipelines and workflows using Azure tools and services

+ Document methodologies, assumptions, and results for both technical and non-technical audiences

+ Identify and implement appropriate statistical analyses and models to provide actionable conclusions on energy, customer, and marketing data

+ Work with software engineering to integrate models into quantitative software solutions

+ Take an approach with repeatability, transparency, and time efficiency in mind

+ Stay up to date on tools, trends, and best practices in energy analytics and visualization

+ Manage and prioritize a diverse set of technical assignments across multiple projects in an agile software environment

+ Work with cross-functional teams including data engineers, developers, and subject matter experts to ensure high-quality client deliverables

What we need you to have (minimum qualifications):

+ Bachelor’s degree in Math, Engineering, Science, IT or related discipline

+ 3+ years of experience in data analysis

+ Proficiency in R and/or Python or statistical modeling, data manipulation, and visualization

+ Proficiency with version control systems such as Git and TortoiseSVN, including branching strategies, pull requests, and repository management

+ Must be able to pass a background check, have a valid driver’s license, and successfully pass a Motor Vehicle Records (MVR) check and drug screening.

What we would like you to have (preferred qualifications):

+ Working knowledge of SQL for querying relational databases

+ Strong understanding of predictive modeling techniques and machine learning algorithms

+ Familiarity with Docker for building and deploying containerized machine learning environments and applications

+ Experience with Microsoft Azure services (e.g. Azure Databricks, Azure Batch, Azure Blob/Table Storage)

+ Familiarity with energy efficiency, utilities, or environmental analytics a plus

+ Experience working with large-scale datasets and building scalable data solutions

Professional skills you will use:

+ Strong communication and collaboration skills

+ Ability to work independently and manage multiple priorities

+ Curiosity and a passion for solving complex problems with data

+ Able to exercise independent judgment

+ Strong organizational skills with ability to effectively prioritize and execute tasks while under pressure

+ Ability to effectively work in a diverse team of technologists and business stakeholders and explain technical concepts/solutions to non-technical client stakeholders

Working at ICF

ICF is a global advisory and technology services provider, but we’re not your typical consultants. We combine unmatched expertise with cutting-edge technology to help clients solve their most complex challenges, navigate change, and shape the future.

We can only solve the world's toughest challenges by building a workplace that allows everyone to thrive. We are an equal opportunity employer. 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 (https://www.icf.com/legal/equal-employment-opportunity) policy.

We will consider for employment qualified applicants with arrest and conviction records.

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 righ t s or our benefit offerings which are included in the  Transparency in (Benefits) Coverage Act.

Candidate AI Usage Policy

At ICF, we are committed to ensuring a fair interview process for all candidates based on their own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) tools to generate or assist with responses during interviews (whether in-person or virtual) is not permitted. This policy is in place to maintain the integrity and authenticity of the interview process.

However, we understand that some candidates may require accommodation that involves the use of AI. If such an accommodation is needed, candidates are instructed to contact us in advance at  [email protected] . We are dedicated to providing the necessary support to ensure that all candidates have an equal opportunity to succeed.

**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:

$67,020.00 - $113,934.00

Nationwide Remote Office (US99)