Engineering Manager, Data Science (Remote, Continental United States)

ICA.ai•Arlington, VA

1d•Remote

About The Position

International Consulting Associates, Inc. is a rapidly growing company, located in the D.C./Metro area. We were founded in 2009 to assist government clients with evaluating and achieving their objectives. We have become a trusted advisor helping our clients by offering cutting-edge innovation and solutions to complex projects. Our small company has grown significantly, and we're overjoyed at the opportunity to expand yet again! We are results-focused and have a proven track record supporting federal agencies and large government services primes in three main areas: Research and Data Analysis, Advanced-Data Science, and Strategic Services. We currently support multiple analytics and research programs across HHS. At ICA, we believe our success starts with our people. We foster a collaborative "one team" environment where work-life balance isn't just talked about – it's prioritized. We're building dynamic, highly skilled teams in a welcoming and supportive atmosphere. If you're passionate about using your technical expertise to make a difference, we want to talk to you. We are looking for an Engineering Manager, Data Science to join our growing team! WHY ICA? Meaningful work with real-world impact Collaborative, growth-oriented culture Competitive compensation and comprehensive benefits (healthcare, 401(k) matching, flexible work arrangements, PTO, and more) Personalized development tracks and learning budgets ABOUT YOU: We are looking for an Engineering Manager, Data Science who leads with empathy and purpose. In this role, you'll manage a team of data scientists and engineers working at the intersection of AI, analytics, and research. Your priority is your people — ensuring they are supported, challenged, and set up to do their best work — while also guiding the technical direction and delivery of data science solutions.

Requirements

5+ years of experience managing data science or analytics teams with a strong focus on people development
Hands-on background in data science, machine learning, or advanced analytics
Strong technical foundation in Python, SQL, and relevant DS/ML frameworks
Experience working in cloud environments (Azure, AWS, or GCP)
Familiarity with Agile practices and data engineering workflows
Outstanding communication skills and the ability to bridge technical and non-technical audiences
A genuine commitment to growing the people around you
Bachelor's degree in a quantitative field (Computer Science, Statistics, Data Science, or related); experience is the most relevant factor
Ability to obtain a Public Trust Clearance

Responsibilities

Lead consistent 1-on-1s with direct reports focused on growth, wellbeing, and performance
Manage the full performance cycle — goal setting, ongoing feedback, and formal reviews
Mentor and develop data scientists and engineers of varying skill levels
Foster a collaborative, high-trust team environment where innovation thrives
Monitor team engagement, taking proactive steps to address issues
Drive team growth through strategic hiring and onboarding
Guide the development and delivery of machine learning models, analytical pipelines, and AI-powered solutions
Partner with engineering and product teams to align on priorities and ensure smooth execution
Promote best practices in data science — model quality, reproducibility, documentation, and responsible AI
Translate complex data science outputs into clear, actionable insights for stakeholders
Communicate across all levels — from individual contributors to senior leadership — with clarity and confidence
Align data science efforts with broader business and client objectives
Represent and advocate for your team's work, capacity, and needs

Benefits

Health Insurance - 100% employer-paid premiums – ICA covers the full cost of one of three offered medical plans
Dental Insurance
Vision insurance
Health Spending Account
Flexible Spending Account
Life and Disability insurance
401(k) plan with company match
Paid Time Off (Vacation, Sick Leave and Holidays)
Education and Professional Development Assistance
Remote work from anywhere within the continental United States