Manager, Data Science

Overview

About Suffolk

Suffolk is a national enterprise that builds, innovates, and invests. We provide value across the entire project lifecycle through our core construction management services and complementary business lines in real estate investment, design, self-perform construction, and technology start-up investment (Suffolk Technologies). By integrating data, artificial intelligence, and advanced technology through our Seamless Platform, we connect design, construction, and operations to deliver smarter, more predictable results and redefine how America builds.

Suffolk – America’s Contractor – is a national company with more than $8 billion in annual revenue, 3,000 employees, and 17 offices, including Boston (headquarters), New York City, Miami, West Palm Beach, Tampa, Estero, Dallas, Los Angeles, San Francisco, San Diego, Las Vegas, Herndon, . Virgin Islands, and other key markets. Suffolk manages some of the most complex and transformative projects in the country, serving clients across healthcare, life sciences, education, gaming, aviation, transportation, government, mission critical, and commercial sectors. Suffolk is privately held and is led by founder, chairman and CEO John Fish. Suffolk is ranked #8 on ENR’s list of “Top CM-at-Risk Contractors.” For more information, visit and follow Suffolk on , , , , and .

At Suffolk, we believe that our total rewards program should offer you and your family the support you need when it matters most. That’s why we have created a program that provides employees with access to a wide variety of options that can be personalized to support you and your loved ones physically, emotionally, and financially.

Benefits include, competitive salaries, auto allowances and gas cards for certain roles, access to market leading medical and emotional and mental health benefits, dental, and vision insurance plans, virtual care options for physical therapy and primary care, generous paid time off, 401k plan with employer match and access to expert financial resources, company paid and voluntary life insurance, tax deferred savings accounts, 10 backup daycare days each year, short- and long-term disability, commuter benefits and more. For more information, click .

Role Summary

Suffolk Construction is seeking a Manager, Data Science to join our Data Product team. This is a hands-on technical leadership role: you will contribute directly to high-impact modeling work while managing and developing a small team of data scientists. You will shape the team’s modeling strategies, elevate technical rigor, and drive Suffolk’s transformation from data-as-a-product (DaaP) to a data-as-a-service (DaaS) operating model - delivering scalable, reusable, and governed data and ML services across the enterprise.

Responsibilities

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.

Qualifications

• 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.

Working Conditions

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.

EEO Statement

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.

Compensation Information

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.