Engineering Manager, Data Science/ML
Agero, Inc.
full-time
Posted on:
Location Type: Hybrid
Location: Arizona, California, Florida, Illinois, Massachusetts, Missouri, New Hampshire, New Mexico, New York, North Carolina, Tennessee, Virginia • 🇺🇸 United States
Visit company websiteSalary
💰 $180,000 - $205,000 per year
Job Level
Mid-LevelSenior
Tech Stack
SDLC
About the role
- 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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
Data ScienceMachine Learning EngineeringSoftware Development LifecycleAgileScrumOptimizationReal-time decision enginesScalable systemsStatistical modelingData analysis
Soft skills
LeadershipMentorshipTeam managementTechnical guidanceCommunicationCollaborationProblem-solvingProject managementStrategic thinkingAdaptability