Engineering Manager, Data Science; Remote, Continental
Position: Engineering Manager, Data Science (Remote, Continental United States)
About ICA, Inc.
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.
THE ROLE & RESPONSIBILITIES:
People Leadership (Primary Focus)
• 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
Data Science Delivery & Oversight
• 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
Stakeholder Collaboration
• 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
REQUIRED QUALIFICATIONS:
• 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
USE OF AI ASSITIVE TECHNOLOGY
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.
BENEFITS:
We invest in our team members so you can live your best life professionally and personally, offering a competitive…
Apply tot his job
Apply To this Job
About ICA, Inc.
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.
THE ROLE & RESPONSIBILITIES:
People Leadership (Primary Focus)
• 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
Data Science Delivery & Oversight
• 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
Stakeholder Collaboration
• 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
REQUIRED QUALIFICATIONS:
• 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
USE OF AI ASSITIVE TECHNOLOGY
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.
BENEFITS:
We invest in our team members so you can live your best life professionally and personally, offering a competitive…
Apply tot his job
Apply To this Job