Data Scientist
Nationwide Remote Office (US99), United States
ICF
We make big things possible for our clients. We provide data, insights, and deep implementation expertise they need to deliver results that matter.Data Scientist
Location: US Remote (Preferred hybrid New York or East Coast)
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
- 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 engineering, data science, statistics, computer science, management information systems, or related field
- 5+ years of experience in open-source data science languages, including Python (Candidates can substitute one year of related higher education, such as a Master's degree or PhD, for one year of work experience)
- 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
What we would like you to have:
- 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 working with Data Build Tool (DBT)
- 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 Tableau
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 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 about workplace discrimination rights 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 candidateaccommodation@icf.com. 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:
$98,124.00 - $166,810.00Nationwide Remote Office (US99)Tags: Agile Azure Computer Science Data analysis Databricks Data pipelines Data visualization Data warehouse dbt DevOps Docker Engineering Machine Learning NumPy Open Source Pandas PhD Pipelines Power BI Python Spark SQL Statistics Tableau Testing
Perks/benefits: 401(k) matching Career development Equity / stock options Flex hours
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