Principal Data Scientist, Customer Analytics
About The Position
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. CMT has helped protect over 65 million drivers and prevent over 126,000 crashes worldwide. We build AI to solve some of the most difficult challenges in mobility — understanding and reducing risk, detecting crashes, and getting people life-saving help. The problems are hard. The impact is real. No matter your role, your work will matter at CMT.
Requirements
- 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.
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.
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
- 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
- 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
- Join one of our employee resource groups: Black, AAPI, LGBTQIA+, Women, Book Club, and Health & Wellness
- Comprehensive wellness, education, and employee assistance programs
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What This Job Offers
Job Type
Full-time
Career Level
Principal
