Senior Data Scientist, Product Analytics

7+ years’ experience performing quantitative data analysis, preferably for an internet or technology company. Ability to write complex SQL queries to drive critical business decisions. Robust understanding of Statistics with ability to explain statistical concepts to non-technical audiences. Bachelors or Masters’ degree in Math, Engineering, Statistics or other quantitative field, with a track record of academic excellence. Proven track record of handling multiple projects, meeting deadlines in a fast-paced environment and making a meaningful business impact. Excellent communication skills. Proficiency with Python/R. Proficiency with BI tools such as Tableau, Looker, or equivalent. Experience with Google Analytics, MixPanel or other front-end analytical platforms. Experience with building machine learning/predictive models.

Conduct in-depth analysis to uncover opportunities for improving our products. Build advanced models & analytics tools to boost our product insights/recommendations. Proactively come up with data driven insights/recommendations and communicate them clearly to the business stakeholders. Analyze A/B tests to drive user conversion & engagement. Develop dashboards to inform business decisions with an emphasis on automation and scalability. Collaborate with Engineering to advance data infrastructure and governance.