Principal Data Scientist, Customer Analytics in Cambridge

The Principal Data Scientist is a senior individual contributor and technical leader on the Customer Analytics team. This role leads the development and delivery of customer-facing analytics and data science solutions, with a focus on scientific rigor, scalable implementation, and measurable business impact. The position partners closely with Customer Solutions, Data Engineering, and Customer Success to translate complex business challenges into production-grade analytics, machine learning, and AI capabilities that improve product outcomes and client value.

Responsibilities:

• Serve as a technical lead with a deep understanding of modeling methods from underlying mathematics, to assumptions, tradeoffs, interpretability, and limitations to ensure results are robust and reliable.
• Use independent judgment and discretion to frame ambiguous business and customer problems into well-defined data science problem statements, project plans, modeling approaches, and measurable success metrics.
• Develop and implement advanced statistical and machine learning models end-to-end, including data pipelines, feature engineering, model development, validation, deployment, and ongoing monitoring.
• Partner with analysts to build reporting dashboards and data products that convert model outputs into clear, actionable insights for internal stakeholders and external clients.
• Complete any additional tasks as they arise.

Qualifications:

• Bachelor’s degree or equivalent years of experience and/or certification in a related field.
• 7+ years of working experience in data science, machine learning, advanced analytics or AI-focused roles.
• Deep foundation in statistics, experimental design, and causal inference, including the ability to explain methodology choices and validate assumptions.
• Demonstrated experience deploying and maintaining models or analytical systems in production using CI/CD practices, including monitoring and performance management.
• Strong data science language in Python (required) and SQL.
• Familiarity with Databricks, MLflow, Spark, or similar modern data/ML platforms.

Compensation and Benefits:

• Fair and competitive salary based on skills and experience, and annual performance bonus.
• Equity may be awarded in the form of Restricted Stock Units (RSUs).
• Medical, Dental, Vision and Life Insurance, matching 401k, short-term & long-term disability and parental leave.
• Unlimited Paid Time Off including vacation, sick days & public holidays.
• Flexible scheduling and work from home policy depending on role and responsibilities.

Additional Perks:

• Work on a mission with real impact: crashes prevented, injuries avoided, lives protected around the world.
• Join an industry leader — 65 million drivers protected, powering 140+ programs across 25 countries.
• Recognized innovator in mobility AI, earning top honors including the TIME Industry Leader in AI, a Gold Edison Award, and the Artificial Intelligence Excellence Award for AI for Social Good.
• CMT is also Great Place to Work Certified.
• Be part of the team inventing the future of mobility and road safety.
• Move fast, own outcomes, do work that matters.
• High ownership, small teams, and direct access to leadership — no layers between your work and its impact.
• Unlimited PTO, flexible scheduling, competitive salary, annual performance bonus, RSUs, and full benefits including medical, dental, vision, and 401k match.
• Summer Fridays provide team members with half days to recharge.
• Join one of our employee resource groups: Black, AAPI, LGBTQIA+, Women, Book Club, and Health & Wellness.
• Comprehensive wellness, education, and employee assistance programs.

Commitment to Diversity and Inclusion:

At CMT, we believe the best ideas come from a mix of backgrounds and perspectives. We are an equal-opportunity employer committed to creating a workplace and culture where everyone feels valued, respected, and empowered to bring their unique talents and perspectives. Diversity is essential to our success, and we actively seek candidates from all backgrounds to join our growing team. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status or disability state.