Hybrid Engineering Manager, Data Science/ML

at Agero, Inc.

• Job title: Engineering Manager, Data Science/ML
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: $180,000 - $205,000 per year
• Degree requirement: Bachelor's Degree
• Tech skills: SDLC
• Location requirements: Hybrid, United States

About the role

• Engineering Manager overseeing Data Science and ML teams for Dispatch Optimization platform at Agero. Fostering a culture of excellence and innovation in data-driven technologies.

Responsibilities

• The Data Science / ML Engineering Manager is a critical leadership role responsible for managing a team of Data Scientists, ML Engineers, and Software Engineers focused on architecting, building, and operating the next-generation Dispatch Optimization platform.
• Drive scientific rigor and engineering excellence to transform model outputs into real-time, high-impact dispatch decisions that directly optimize cost efficiency and service levels.
• Directly manage and foster a small and high-impact squad of Data Scientists, ML Engineers, and Optimization Specialists, providing expert technical guidance, mentorship, and day-to-day support.
• Own the successful implementation and delivery of projects defined on the ML roadmap with the highest quality and on time. Define and implement robust Software Development Lifecycle (SDLC) processes tailored for ML and optimization (Agile/Scrum).

Requirements

• Bachelor's Degree (Master's preferred) in Computer Science, Computer Engineering, Data Science, Operations Research, or a closely related quantitative field.
• 6+ years relevant experience in Data Science, ML Engineering, or Operations Research, with significant experience transitioning research models into production-grade, scalable systems.
• 2+ years proven experience in engineering management or a similar technical leadership role, specifically managing Data Science or ML Engineering teams.
• Demonstrated track record of successfully leading and shipping complex DS/ML and Optimization projects (e.g., dispatch platforms, real-time decision engines) that delivered measurable business value.
• Experience managing and operating 24x7 real-time information systems and/or technical operations.

Benefits

• Health and Wellness: Healthcare, dental, vision, disability, life insurance, and mental health benefits for associates and their families.
• Financial Security: 401(k) plan with company match and tuition assistance to support your future goals.
• Work-Life Balance: Flexible time off, paid sick leave, and ten paid holidays annually.
• Family Support: Parental planning benefits to assist associates through life’s milestones.
• Bonus/Incentive Programs