On-call Transportation Data Engineer
On-Call Transportation Data Engineer – REMOTE
ICF is seeking an On-call Transportation Data Engineer, who will lead efforts to apply advanced data science techniques, AI and machine learning models to analyze transportation data, providing actionable insights to improve transportation systems and enable automation through improved and updated workflows. This includes AI research, automation of bike/ped counts, route planning, traffic management, fleet operations, and infrastructure development working with some of our clients in New York state.
The ideal candidate will have a strong background in data science, data engineering, project management, and transportation data, coupled with leadership experience managing cross-functional projects and data programs. Additionally, experience working with external customers, a consulting background, PMP certification, and expertise in cloud technologies is highly desirable.
Key Responsibilities:
Research AI strategies and techniques for improving automation and workflows.
Analyze large-scale transportation datasets to identify patterns, trends, and predictive insights that optimize transportation systems.
Develop and deploy machine learning models to support decision-making in transportation operations, safety improvements, and infrastructure planning.
Lead end-to-end data science projects and data programs, from conceptualization and data preparation to model development and deployment.
Manage cross-functional teams and ensure alignment of data science initiatives with organizational goals.
Collaborate with data engineering, software development, and business stakeholders to deliver data-driven solutions.
Design and develop transportation data products that address complex business problems and enhance operational efficiencies.
Ensure data engineering best practices are followed, ensuring data quality, integrity, and accessibility.
Stay current with the latest advancements in data science, machine learning, and transportation technologies.
Minimum Qualifications
Master’s or Ph.D. in Data Science, Computer Science, Transportation Engineering, Statistics, or a related field preferred.
8+ years of experience in data science roles. Applications in transportation a plus.
5+ years proven experience leading data science projects, data programs, and product delivery.
Advanced knowledge and experience in data engineering practices, including data pipelines, ETL processes, and data architecture.
Extensive expertise in machine learning techniques, predictive modeling, and statistical analysis.
Advanced knowledge of transportation systems, operations, and related datasets.
Preferred Qualifications
Certifications in additional data science areas or cloud technologies.
Experience with geospatial analysis and transportation modeling tools as well as MySQL, MS SQL database.
Familiarity with real-time data processing and streaming analytics.
Experience with MATLAB programming language, transportation related packages including: Synchro, VISSIM, VISTRO, ArcGIS
Prior experience in leading customer-facing projects with a focus on transportation solutions.
Excellent communication skills, with the ability to convey complex technical concepts to non-technical audiences.
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.
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:
$130,603.00 - $222,024.00New York Remote Office (NY99)
Average salary estimate
If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.
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ICF is a global advisory and technology services company with approximately 9,000 employees in industries across the public and private sectors. For over 50 years, we’ve been helping clients take on some of the world’s most complex challenges to p...
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