Junior Quantitative Researcher

Come, Grow with Assured Allies!

Are you a smart, curious, relentless and quick learner looking to tackle one of society’s largest emerging problems? If you answer yes to all of the above, we might have one of the most interesting product management opportunities out there, just for you.

Our AgeAssured program helps seniors age successfully in their own home. We do so by using data science to identify the best wellness services for each person.

We’re looking for a Junior Quantitative Researcher to help us grow our leading product into new frontiers.

As a Junior Quantitative Researcher you'll play a crucial role in the planning, measuring and improving our products. This is a unique opportunity to grow your research and analytical skills within a fast-paced, supportive environment.

Responsibilities:

• Collaborate with a multidisciplinary group of research professionals (including data science, actuary, clinical development) to drive innovative research projects
• Collaborate with business stakeholders to translate strategic business questions and operational concepts to measurement methodology, and convert them to insights and data driven decisions
• Help business teams define KPIs and enable continuous tracking and reporting of these KPIs
• Own the product performance measurement and reporting
• Build and maintain repository of routine performance analysis templates and reports for internal and external routine reporting
• Build and maintain repository of deep-dive analysis building blocks to be reused across multiple scenarios/reports
• Build and maintain dashboards for routine tracking of performance metrics by stakeholders within the organization
• Identify and resolve anomalies/issues/gaps in data
  
  

• B.Sc./M.Sc. in one of the following fields (or similar): statistics, computer science, mathematics, engineering.
• Proficiency in Python, including the following libraries: pandas, numpy, stats, scikitlearn
• Academic level knowledge of statistics (e.g. statistical inference, statistical tests, experiment design)
• Extensive knowledge and experience with SQL and relational databases
• Experience with cloud data platforms and visualizations tools
• Strong analytical skills
• Critical thinking around data and data driven decisions
• Ability to communicate findings to stakeholders and translate into actionable insights