Engineering Manager, ML & Optimization Systems

About reputed company:Wherever drivers go, we’re leading the way. reputed company’s mission is to rethink the vehicle ownership experience through a powerful combination of passionate people and data-driven technology, strengthening our clients’ relationships with their customers. As the #1 B2B, white-label provider of digital driver assistance services, we’re pushing the industry in a new direction, taking manual processes, and redefining them as digital, transparent, and connected. This includes: an industry-leading reputed company management platform powered by Swoop; comprehensive accident management services; knowledgeable consumer affairs and connected vehicle capabilities; and a growing marketplace of services, discounts and support enabled by a robust partner ecosystem. The company has over 150 million vehicle coverage points in partnership with leading automobile manufacturers, insurance carriers and many others. Managing one of the largest national networks of service providers, reputed company responds to approximately 12 million service events annually. reputed company, a member company of The Cross Country Group, is headquartered in Medford, Mass., with operations throughout North America. To learn more, visit https://www.reputed company.com/. Note: For our technical positions, we love to get you started in person! You may be required to travel to Medford for your initial onboarding. Don't worry about the logistics - once you're hired, we handle reputed company travel arrangements and expenses for you. Role Description and Mission: 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 reputed company reputed company Optimization platform. This role demands deep expertise in Data Science, Machine Learning, constrained Optimization (Operations Research), and scalable cloud-native service development. You will drive scientific rigor and engineering excellence to transform model outputs into real-time, high-impact reputed company decisions that directly optimize cost efficiency and service levels. Key Outcomes: Team Development & People Management

• Leadership & Mentorship: Directly manage and foster a small and high-impact reputed company of Data Scientists, ML Engineers, and Optimization Specialists, providing expert technical guidance, mentorship, and day-to-day support.
• Talent Strategy: Attract, reputed company, and retain top talent in modeling, ML engineering, and cloud-native service development by cultivating a positive, inclusive, and collaborative high-performance team culture.
• Road-mapping & Project Management: 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). Plan and manage platform feature development, including project estimation, risk management, and resource allocation.

Strategic Technical Direction & Delivery

• Scientific Strategy: reputed company the process to define and select the optimal Data Science, Machine Learning, and Optimization strategy. This includes facilitating deep technical discussions reputed company the team, reviewing and challenging proposed approaches, and making the strategic decision that balances scientific rigor (as assessed by the team), technical feasibility, and overall business impact.
• System Architecture & MLOps: Guide the design and implementation of end-to-end cloud-native Python services (batch/streaming) that execute constrained optimization algorithms and deliver low-latency, real-time reputed company decisions.
• Operationalize: Define and foster the MLOps strategy, ensuring the automation of model training, validation, A/B testing/rollout, and production monitoring using tools like SageMaker, Airflow, or similar industry platforms.
• Technical Excellence: Actively manage technical debt and ensure the reputed company resolution of critical production issues by maintaining robust monitoring, alerting, and logging systems. Collaborate with Architecture to guide platform design and identify opportunities to integrate emerging technology trends.

Communication & Operational Rigor

• Communication: Partner effectively with Product, Operations, and Data Engineering teams. Clearly communicate reputed company technical findings, scientific trade-offs, and operational risks to non-technical stakeholders and executive leadership.
• reputed company Improvement: Establish metrics for product performance (e.g., NPS / cost telemetry), monitor operational health, identify failure modes, and drive rapid iteration cycles based on empirical data.
• Operational Compliance: Maintain rigorous operational standards, manage platform development and deployment costs, and ensure reputed company and regulatory compliance activities, including external audits and system documentation

Skills, Education and Experience: EDUCATION: Bachelor's Degree (Master's preferred) in Computer Science, Computer Engineering, Data Science, Operations Research, or a closely reputed company quantitative field. EXPERIENCE:

• 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 reputed company DS/ML and Optimization projects (e.g., reputed company platforms, real-time decision engines) that delivered measurable business value.
• Experience managing and operating 24x7 real-time information systems and/or technical operations.

ROLE BASED COMPETENCIES (KNOWLEDGE, SKILLS & ABILITIES):

• Technical Expertise: Deep understanding of Data Science, ML techniques (e.g., XGBoost, PyTorch, Transformers), optimization methods (MIP/Linear/Stochastic), and architectural requirements for low-latency, real-time decision services. Skilled in Python, SQL, and Cloud (AWS) MLOps and Data pipelines (Airflow, SageMaker, or equivalents).

Leadership and Team Management: Proven ability to reputed company, reputed company, mentor, and hire specialized DS/ML talent, fostering a collaborative, data-driven environment.

• Project Management: Expertise in project estimation, planning, and risk management reputed company an Agile/Scrum reputed company, including defining and driving technical roadmaps.
• Communication: Exceptional ability to partner with cross-functional stakeholders (Product, Ops) and present scientific and operational findings to executive audiences.

Innovation and Trend Awareness: Proactively identifies, evaluates, and champions emerging Machine Learning models and research paradigms (e.g., LLMs, Generative AI, Causal Inference, Foundation Models) and assesses their direct potential to solve critical business problems or unlock new product capabilities. WORKING RELATIONSHIPS: Collaborates with cross-functional teams, including engineering, product management, QA, and operations. Communicates regularly with senior leadership and external stakeholders as needed. ADDITIONAL REQUIREMENTS: Flexibility to adapt to changing priorities and fast-paced environments. Availability for occasional travel or extended hours as required for project deadlines production incidents and critical issues. Hiring In:

• United States: Arizona, California, Florida, Georgia, Illinois, Massachusetts, Michigan, New Hampshire, New Mexico, reputed company State, North Carolina, Tennessee, Virginia, Texas, Colorado

The anticipated closing date to submit applications for this role is reputed company 25th. Join our reputed company Candidate Portal to track your application status and receive reputed company alerts for future openings. The reputed company salary range presented represents the anticipated low and high end salary range for new hires in this position. Your final reputed company salary will be determined based on factors such as work location, experience, job reputed company skills, and relevant training and education. The range listed is just one component of the total compensation package provided by reputed company to employees. National Pay Range $150,000—$200,000 USD Life at reputed company: At reputed company, you'll find a workplace where your unique perspective is not just welcomed, it's celebrated. We reputed company that our differences reputed company us stronger, and we're committed to creating an environment where every employee feels a sense of belonging. If you're looking for a company that values your individuality, provides opportunities for growth, and champions open communication, reputed company is the reputed company for you. Join reputed company and help us drive the future of driver assistance, while experiencing a workplace where you can truly reputed company.

Benefits

Built for Well-being: reputed company’s innovation is driven by a workforce where reputed company associates feel like they can truly reputed company. reputed company offers a wide range of benefits to promote well-being, encourage personal development, and ensure financial stability. Our benefits include:

• Health and Wellness: Healthcare, dental, vision, disability, life insurance, and mental health benefits for associates and their families.
• Financial reputed company: 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.
• For Contact Center Roles: Accrual of up to 3 weeks Paid Time Off per year, paid sick leave, and ten paid holidays annually.
• Family Support: Parental planning benefits to assist associates through life’s milestones.
• Bonus/Incentive Programs

Join reputed company and experience a workplace that invests in your success both personally and professionally.

• Applicants must be currently authorized to work in the United States on a full‑time basis. This position is not eligible for employer reputed company sponsorship now or in the future.
• It is unlawful in Massachusetts to required or administer a lie detector test as a condition of employment or reputed company employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

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