**Responsibilities**:
- Lead the creation of advanced analytics solutions to help us drive profitability and growth by optimizing resources and pricing.
- wn the end-to-end development of the data analytics products: data exploration, modeling and model deployment.
- Develop company A/B testing frameworks and test model quality.
- Understand and combine data from various sources to create analytics data sets.
- Introduce new methodologies, algorithms, tools, and technologies to solve problems.
- Collaborate with multiple teams (e.g., Applied AI, Claims, Underwriting, IT) to achieve objectives.
- Become a trusted partner for the stakeholders in topics related to data and analytics (i.e., translating data insights into business decisions/actions).
- Communicate and present findings or data science projects/achievements to non-technical audiences.
- Support ad-hoc business requests which require statistical analysis.
- Provide training guidance and assistance to colleagues.
**Qualifications**:
**Requirements**:
- Bachelor's degree, preferably in Statistics, Mathematics, Actuarial Science, Analytics, Engineering or Computer Science. An advanced degree in Statistics or Predictive Analytics is strongly preferred.
- 4+ years of advanced analytics experience.
- Experience with Excel is required.
- Experience with programming and statistical packages (Python, R).
- Experience in data management (SQL).
- Knowledge of advanced analytics techniques.
- Good Problem-Solving skill is a must.
- Communication to different audiences (operations and senior leadership).
- Experience in designing and building data science products that influence the business decision-making process.
- Comprehensive analytics assessments that will help the business leaders to identify and prioritize actions that will help the business to grow in volume and in profitability.
- Translate data driven insights into business decisions and actions.