Data Scientist
Data Scientist
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Not Disclosed
Salary Not Disclosed
1 Vacancy
Job Description
The Role
- Own the development and implementation of data models analytics frameworks and experimentation strategies across the platform.
- Analyze user journeys and behavioral data across tenants to uncover insights that inform digital product development and engagement strategies.
- Develop segmentation and predictive models to support personalization and proactive member engagement based on demographics behavior and interaction activities etc.
- Design and analyze experiments (A/B testing cohort studies) to assess feature effectiveness and improve user engagement.
- Collaborate closely with product managers designers and engineering to define KPIs track product performance and identify growth opportunities.
- Create dashboards and self-serve analytics tools to empower internal teams with real-time insights.
- Mentor and coach junior data team members fostering their growth in analytics modeling and communication.
- Contribute to and uphold best practices in data quality governance and compliance especially within the financial services sector.
Qualifications
The Requirements
- 10 years of experience in data science analytics or related rolesideally within fintech pensions insurance or employee benefits domains.
- Strong SQL skills and experience working with large complex data sets.
- Proficiency in SQL and Python or R with hands-on experience in machine learning predictive modeling and statistical analysis.
- Proven experience working directly with product analytics platforms like Mixpanel Amplitude or similar tools.
- Experience with data visualization and BI tools (e.g. Looker Power BI Tableau).
- Solid grasp of statistics experimentation design and causal inference techniques.
- Excellent communication and stakeholder management skillsable to influence and align diverse teams.
- Demonstrated team leadership or people management experience.
WTW is an Equal Opportunity Employer
Employment Type
Full-Time
