Manager, Data Science

Team Leadership & Talent Development

Manage and develop a team of data scientists providing mentorship, coaching, and structured growth pathways.

• Lead by example through consistent technical contribution, reinforcing standards for model design, code quality, reproducibility, and documentation.

• Partner with the Senior Director, Data Product on resource planning, prioritization, and roadmap execution.

ML Product Development & Technical Ownership

• Lead the design, development, and maintenance of ML-driven products and services, including predictive models, risk scoring engines, exception detection services, and upcoming generative AI applications.

• Build reusable ML components and services that can be consumed across multiple business units-aligning with a DaaS mindset.

• Own the full ML lifecycle from exploration to production: data extraction, feature engineering, model training, evaluation, deployment, monitoring, and iteration.

• Collaborate closely with data engineering to influence data architecture, pipeline design, data modeling, and model-serving platforms.

Strategic Impact & Stakeholder Engagement

• Translate business priorities into product roadmaps; what problems we solve, in what order.

• Communicate complex technical findings to non-technical audiences in a way that influences decisions at scale.

• Orchestrate cross-functional delivery across BI, data engineering, data science, and AI. .

• Defines clear product boundaries and backlogs, user stories, scope, acceptance criteria, and delivers product increments end-to end.

Technical Standards & Best Practices

• Establish and champion best practices across MLOps, model governance, CI/CD, testing, and monitoring.

• Drive continuous improvement across modeling techniques, LLM applications, and analytics tooling.

• Ensure data science artifacts are built with long-term maintainability, transparency, and reusability in mind.

• 5-7+ years of hands-on experience in data science, applied machine learning, or AI, with proven end-to-end ownership of productionized ML systems.

• Skilled in SQL and either Python or R (experience with scikit-learn, tidymodels, MLlib or comparable frameworks).

• Experience acting as a technical lead, senior IC, or informal mentor; ready to step confidently into a formal management role.

• Comfortable balancing individual contribution with team leadership - able to switch between strategy, execution, coaching, and delivery.

• Experience with distributed compute environments (Spark, Databricks) is a plus.

• Familiarity with the Posit ecosystem (Workbench, Connect, Quarto, vetiver) is a plus.

• Strong critical thinking, problem framing, and ability to structure ambiguous problems.

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or related field preferred.

While performing the duties of this job, the employee is regularly required to sit for long periods of time; talk or hear; perform fine motor, hand and finger skills in the use of a keyboard, telephone, or writing. The employee is frequently required to stands; walk; and reach with arms and/or hands. Specific vision abilities include close vision, distance vision, depth perception and the ability to adjust focus. The employee will spend their time in an office environment with a quiet to moderate noise level. Job site walking.

Suffolk provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, pregnancy or maternity, national origin, citizenship, genetic information, disability, protected veteran, gender identity, age or any other status protected by law. This policy applies to recruiting, hiring, transfers, promotions, terminations, compensation, benefits, and all other terms and conditions of employment. Suffolk will not tolerate any unlawful discrimination toward, or harassment of, applicants or employees by anyone at Suffolk, or anyone working on behalf of Suffolk.

The expected salary range for this position (Manager, Data Science) in Boston, MA is between $131,000 and $184,000 USD. This represents the typical salary range for this position and is just one component of Suffolk's total compensation package. Actual salaries may be based on several factors including, but not limited to, skill set, experience, education and other qualifications. Suffolk offers a comprehensive benefits package as part of its overall compensation strategy. Salary ranges may differ by geography and are reviewed regularly to reflect market trends.