Engineering Manager, Data Science; Remote, Continental

About ICA, Inc.

International Consulting Associates, Inc. is a rapidly growing company located in the D.C./Metro area. Founded in 2009, ICA assists government clients with evaluating and achieving their objectives, 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.

• 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 at the intersection of AI, analytics, and research, ensuring they are supported, challenged, and set up to do their best work while guiding the technical direction and delivery of data science solutions.

• 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

• 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

All application materials must be your own original work, and interviews must be completed independently. Use of AI‑generated content in applications or AI assistance during interviews will result in disqualification.

We invest in our team members so you can live your best life professionally and personally, offering a competitive salary and 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

This is a remote position. Candidates residing in the DMV area are preferred.

ICA is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender, gender identity or expression, national origin, genetics, disability status, protected veteran status, age, or any other characteristic protected by state, federal or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.