ICF seeks a On-call Senior Environmental Scientist to provide technical and training support for our U.S. Environmental Protection Agency (EPA) projects with the Office of Superfund Remediation and Technology Innovation (OSRTI), Office of Brownfields and Land Revitalization (OBLR), and Office of Resource Conservation and Recovery (ORCR). What you’ll do: - Leverage hands-on knowledge and experience with site characterization and remediation technologies to promote improvements to the cleanup of contaminated sites. - Apply extensive knowledge of CERCLA and RCRA regulations and policies by identifying and evaluating ways to advance contaminated site cleanup including development of conceptual site models, site strategies, optimization recommendations, cost estimates and advising on use of innovative technologies and best practices. - Support improvements to EPA’s environmental data management and analyses through development and use of leading-edge technology applications. - Manage multi-disciplinary project teams and client engagement. What you’ll need: - Bachelor’s or master’s degree in geology, hydrogeology, environmental science, engineering, or related technical field. - 10+ years of experience conducting site characterization and remediation of contaminated sites. - Extensive knowledge of EPA cleanup programs and policies, particularly CERCLA and RCRA. - Expertise in leading and developing technical deliverables and training materials. Professional skills: - Team player with demonstrated project management skills including the ability to work in a fast-paced environment. - Demonstrated ability to effectively engage with clients. - Excellent written and oral communications skills. 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. 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 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: $81,499.00 - $152,404.00 Nationwide Remote Office (US99)

• Partner with senior Sales, Merchandising, Marketing, and Digital stakeholders to identify, prioritize, and frame high-impact business problems suited for advanced analytics and AI. • Oversee delivery of solutions including eCommerce personalization and recommendation systems, seller effectiveness and productivity tools, and advanced marketing and merchandising analytics. • Ensure solutions are production-ready, scalable, and embedded into commercial workflows to drive sustained and measurable revenue, margin, and customer experience impact. • Lead, develop, and retain high-performing teams of data scientists, with a strong focus on innovation, execution, and talent development. • Shape and deliver the commercial analytics and AI roadmap aligned to growth priorities, customer strategy, and measurable business outcomes. • Influence decision-making by leading statistical experimentation and driving adoption of data-driven decision making across Sales, Merchandising, Marketing, and Digital leadership teams. • Provide technical and analytical leadership across applied AI, optimization, and statistical modeling.

• Conduct literature reviews and keep abreast of current techniques in applied statistics, machine learning, and big data • Invent and/or apply new techniques to telemetry data to identify new security threats. • Develop and document proofs-of-concept (POCs) to demonstrate the efficacy, performance, and scalability of new techniques • Publish and present research findings, including methodology and measured efficacy improvements • Partner with threat-research and engineering teams to turn successful POCs into product features and actionable intelligence

ARE YOU A CURRENT US FOODS EMPLOYEE? PLEASE APPLY DIRECTLY THROUGH OUR INTERNAL WORKDAY CAREER SITE Join Our Community of Food People! The Lead Data Scientist – Commercial will lead a team of data scientists responsible for designing, developing, and deploying advanced analytics and AI solutions that drive commercial growth, seller efficiency improvements and customer engagement. This includes seller effectiveness solutions, eCommerce AI capabilities such as personalization and product recommendations, and advanced marketing and merchandising analytics. This leader owns the Commercial Advanced Analytics portfolio, with accountability for analysis, development, and implementation of AI / ML solutions and delivery of measurable business outcomes across Sales, Marketing, and Digital channels. Responsibilities span the full lifecycle of initiatives, from problem framing and solution design through production deployment and adoption. This position is remote which means the work can be completed from anywhere except Hawaii or United States Territories. ESSENTIAL DUTIES AND RESPONSIBILITIES Delivery and Impact - Partner with senior Sales, Merchandising, Marketing, and Digital stakeholders to identify, prioritize, and frame high-impact business problems suited for advanced analytics and AI. - Oversee delivery of solutions including eCommerce personalization and recommendation systems, seller effectiveness and productivity tools, and advanced marketing and merchandising analytics. - Ensure solutions are production-ready, scalable, and embedded into commercial workflows to drive sustained and measurable revenue, margin, and customer experience impact. Analytical Leadership - Lead, develop, and retain high-performing teams of data scientists, with a strong focus on innovation, execution, and talent development. - Shape and deliver the commercial analytics and AI roadmap aligned to growth priorities, customer strategy, and measurable business outcomes. - Influence decision-making by leading statistical experimentation and driving adoption of data-driven decision making across Sales, Merchandising, Marketing, and Digital leadership teams. Technical Excellence - Provide technical and analytical leadership across applied AI, optimization, and statistical modeling. - Set standards for analytical rigor, model performance, reliability, and commercial business impact. - Collaborate with ML Engineering, Digital, and Platform teams to ensure robust code development, scalable deployment, and stable production operations across the full model lifecycle. SUPERVISION: - Team of five data scientists. RELATIONSHIPS - Internal: Analytics and Data Science teams; Executive Leadership Team; Sales, Marketing, Merchandising, Digital, and Technology leaders. - External: Vendors including cloud infrastructure providers, analytics and AI solution partners, and other strategic partners. WORK ENVIRONMENT (Select one) - Remote: This role is fully remote, and the associate is expected to perform assigned responsibilities from a home-based environment. MINIMUM QUALIFICATIONS - Six years of experience or greater in advanced analytics, data science, or applied machine learning, with progressive leadership responsibility. - Experience deploying applied AI solutions on cloud platforms (e.g., AWS SageMaker and Bedrock), including LLM-based and agentic architectures, with production-grade hosting, monitoring, governance, and end-to-end MLOps. - Experience guiding teams in Python-based data science ecosystems and collaborative development practices, including code quality, testing, and reproducibility. Comfort with modern agentic coding tools (e.g., Claude Code, GitHub Copilot). - Strong command of machine learning, optimization methods, and statistical experimentation at scale, particularly in commercial, customer, or growth-oriented use cases. - Business-oriented analytical thinker with a high bar for rigor, execution, and reliability. - Clear, concise communicator able to influence senior leaders with data-driven insights. EDUCATION - Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related quantitative field required. - PhD in a quantitative field a plus. TRAVEL REQUIREMENT - 10% CERTIFICATIONS/TRAINING - N/A LICENSES - N/A PREFERRED QUALIFICATIONS - Experience leading applied data science or AI teams in commercial, sales, marketing, or eCommerce environments (especially B2B). - Strong consultative, business-facing background with demonstrated success driving adoption of analytics products. - Able to communicate clearly and influence stakeholders through storytelling and public speaking. - Experience in complex, SKU-heavy or distribution-style businesses. This role will also receive annual incentive plan bonus up to 25% of base salary.​ ​Benefits for this role may include health insurance, pre-tax spending accounts, retirement benefits, paid time off, short-term and long-term disability, employee stock purchase plan, and life insurance. To review available benefits, please click here: https://www.usfoods.com/careers/benefits.html. Compensation depends on relevant experience and/or education, specific skills, function, geographic location, and other factors as applicable by law (for example: state minimum wage thresholds). The expected base rate for this role is between $100,000 - $160,000 ***EOE – Race/Color/Religion/Sex/Sexual Orientation/Gender Identity/National Origin/Age/Genetic Information/Protected Veteran/Disability Status***