Staff Data Scientist building complex analytics models for underwriting and operations at Travelers Insurance. Collaborating with teams to enhance risk segmentation and streamline decision - making processes.
About the role
- Lead the design, execution, and interpretation of A/B tests and other experiments to evaluate product changes; apply causal inference methods to understand the “why” behind results.
- Work closely with Product Managers and leaders to identify growth levers, assess trade-offs, and influence investment decisions.
- Apply statistical modelling, segmentation, clustering, and predictive techniques to uncover deeper insights into user behaviour and product performance.
- Translate complex analysis into clear narratives that drive decisions across technical and non-technical audiences.
- Share knowledge, coach junior team members, and foster a culture of curiosity and continuous learning.
- Partner with Product Managers, Engineers, and other stakeholders to ensure the data foundation is reliable and fit for analysis.
- Act as a strategic thought partner, bringing rigour to measuring product impact and surfacing opportunities.
Requirements
- 5+ years of experience in product-focused data science or analytics, ideally in SaaS or eCommerce.
- Strong background in experimental design, causal inference, and statistical analysis.
- Proficiency in SQL and a programming language such as Python or R.
- Comfort applying predictive models and clustering techniques; and strong judgment on when descriptive and causal approaches are best.
- Excellent communication and storytelling skills; ability to translate data into compelling narratives that influence leaders.
- Proven ability to partner with product managers and analytics engineers to shape strategy, not just report on it.
- A mix of curiosity and humility: eager to learn, and just as eager to share.
- Bonus: Industry experience in health tech, integrative medicine, or related fields.
- Bonus: Experience with BI tools like Looker or Tableau, and familiarity with cloud platforms such as Snowflake or AWS.
- Bonus: Knowledge of deep learning, natural language processing, or other advanced machine learning methodologies.
Benefits
- Flexible PTO & competitive pay—rest fuels performance.
- RRSP match & stock options—invest in your future.
- Customizable benefits—flexible coverage, paramedical services, and an HSA.
- Fullscript discounts—save on wellness products.
- Continuous learning—training budget + company-wide initiatives.
- Wherever You Work Well—hybrid and remote flexibility.
- Accommodations available upon request.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
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