Data Scientist

Boosted.ai is seeking a Data Scientist to support the growth of their business by generating actionable insights and performing data analysis to guide decision making and inform product direction. The ideal candidate should have an analytical mindset, be familiar with product KPIs and metrics, and have experience setting up product analytics and data science tools. The responsibilities include understanding business drivers, monitoring and deriving insights from product KPIs and metrics, leading customer-facing report deliveries, and analyzing and evaluating Boosted.ai's processes for potential improvement opportunities. The company values diversity and seeks individuals with diverse life experiences, educational backgrounds, cultures, and work experiences.

• Understand the business drivers, analytical use cases and translate those into actionable outputs.
• Setting up, monitoring and deriving insights from Product KPIs / OKRs and Metrics (LTV, Churn, Engagement etc) and design, build, automate and maintain dashboards for their reporting.
• Leverage, setup and deploy tools and techniques for data analysis, including statistical and quantitative method.
• Exercise of critical thinking, analyzing and assessing problems and implications, identifying patterns, making connections of underlying issues, understanding risks and developing mitigation strategies, and taking ownership of the outcome.
• Lead customer-facing report deliveries, both existing and ad-hoc requests along with management reporting information, which is produced on a periodic basis.
• Analyze and evaluate Boosted.ai's processes and identify potential improvement opportunities.

• Minimum of 2 years experience in data science, product analytics or similar role.
• BA/BS in relevant field of study
• Working knowledge and ability to measure and evaluate specific Product KPIs / OKRs and Metrics (LTV, Churn, Engagement etc.)
• Experience and Coding knowledge with Python
• Experience with using and setting up data visualization tools such as Mixpanel, Google Data Studio, Tableau or similar
• Extremely detail-oriented with great time management skills and experience working in a fast-paced, data-driven environment
• Excellent written and oral communication skills, including an ability to communicate across business areas
• Experience with enterprise SaaS for financial services is a strong asset