Engineering Manager, Data Science

This position is posted by Jobgether on behalf of a partner company. We are currently looking for an Engineering Manager, Data Science (Remote). In this vital role, you will lead a team of skilled data scientists and engineers, focusing on delivering impactful AI and analytics solutions. Your leadership will shape the success of projects that support government clients, enhancing their operations with innovative data-driven strategies. This position emphasizes collaboration and support, ensuring that your team is well-equipped to excel in their roles while fostering a dynamic work environment. If you are passionate about making a difference through data science, we want to connect with you.

Accountabilities

• Lead consistent 1-on-1s with direct reports focused on growth, wellbeing, and performance
• Manage the full performance cycle including 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 and address issues proactively
• Drive team growth through strategic hiring and onboarding
• Guide the development and delivery of machine learning models and AI-powered solutions
• Partner with engineering and product teams to align on priorities
• Promote best practices in data science, including model quality and responsible AI
• Translate complex data science outputs into actionable insights for stakeholders
• Communicate effectively across all levels, from individual contributors to senior leadership
• Align data science efforts with broader business objectives
  
  

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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 data science/machine learning frameworks
• Experience working in cloud environments (Azure, AWS, or GCP)
• Familiarity with Agile practices and data engineering workflows
• Outstanding communication skills with the ability to bridge technical and non-technical audiences
• Genuine commitment to developing the team members around you
• Bachelor's degree in a quantitative field; experience is the most relevant factor
• Ability to obtain a Public Trust Clearance
  
  

Benefits

• Competitive salary and comprehensive benefits

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• 100% employer-paid health insurance premiums
• Dental and vision insurance
• Health Spending Account and Flexible Spending Account
• Life and Disability insurance
• 401(k) plan with company match
• Paid Time Off including vacation, sick leave, and holidays
• Education and Professional Development Assistance
• Remote work from anywhere within the continental United States
  
  

Why Apply Through Jobgether?

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.