This position is posted by Jobgether on behalf of a partner company. We are currently looking for an Engineering Manager (Data Science/ML) in the United States.
This role is a leadership position overseeing a high-impact team of Data Scientists, ML Engineers, and Optimization Specialists dedicated to building and operating advanced real-time dispatch optimization platforms. You will drive both technical strategy and team development, transforming research models into production-grade solutions that directly improve operational efficiency and service outcomes. The position requires a strong combination of hands‑on technical expertise in ML, optimization, and cloud‑native architectures, along with leadership skills to mentor, retain, and grow top talent. You will manage project roadmaps, ensure scientific rigor, and collaborate across cross‑functional teams while guiding the operationalization of ML and optimization workflows. This role thrives in fast‑paced environments, offering an opportunity to shape critical systems that impact millions of service events annually.
Accountabilities:
- Lead, mentor, and manage a high‑performing team of Data Scientists, ML Engineers, and Optimization Specialists, fostering a collaborative, inclusive, and results‑driven environment
- Define and execute technical roadmaps for the Data Science and ML team, including project planning, risk management, and delivery of high‑quality, scalable solutions
- Drive the selection and implementation of advanced ML, optimization, and analytics strategies, balancing scientific rigor, technical feasibility, and business impact
- Oversee the design and operationalization of cloud‑native, low‑latency services, including MLOps workflows for model training, deployment, monitoring, and validation
- Partner with cross‑functional teams, including Product, Operations, and Data Engineering, to translate complex technical findings into actionable insights and business outcomes
- Establish and monitor metrics for platform performance, identifying areas for continuous improvement and innovation
- Ensure compliance with operational, security, and regulatory standards while maintaining platform reliability and performance
Requirements:
- Bachelor's degree in Computer Science, Data Science, Operations Research, or a related quantitative field (Master's preferred)
- 6+ years of relevant experience in Data Science, ML Engineering, or Operations Research, with proven success transitioning models into scalable production systems
- 2+ years of experience in engineering management or technical leadership of DS/ML teams
- Strong expertise in ML frameworks (e.g., PyTorch, XGBoost, Transformers), constrained optimization methods (MIP/Linear/Stochastic), and Python‑based cloud‑native architectures
- Experience with MLOps tools and pipelines such as SageMaker, Airflow, or equivalents
- Demonstrated ability to deliver complex ML/Optimization projects with measurable business impact
- Exceptional leadership, mentoring, and team‑building skills, with a focus on collaboration and inclusivity
- Strong project management skills within Agile/Scrum environments, including estimation, planning, and execution
- Excellent communication skills for presenting technical concepts to both technical and non‑technical stakeholders
- Flexibility to adapt to a fast‑paced environment, with occasional travel as required
Benefits:
- Base salary range: $150,000 – $200,000 USD
- Comprehensive health, dental, vision, life, and disability insurance
- 401(k) plan with company match
- Flexible time off, paid sick leave, and ten paid holidays annually
- Parental planning support and family benefits
- Tuition assistance and professional development opportunities
- Bonus and incentive programs aligned with performance
- Supportive and inclusive workplace culture with growth opportunities