Senior Data Scientist, Product Analytics

BOLD•Chicago, IL

19d•Remote

About The Position

Reporting to VP, Analytics & Data Science, the Senior Data Scientist, Product Analytics will provide critical insights to business partners and strategic support to the executive team. You’ll have a significant impact on our product strategy with your high quality data/analyses, advanced analytics skills and attention to detail. You’ll be the go to person for product performance, insights & strategy. The ideal candidate is highly motivated and has a track record of using their technical skills and business acumen to quickly make an impact! ABOUT THIS TEAM Analytics team is responsible for generating actionable insights & analyses for the business, AB testing, data driven decision making and supporting Product, Marketing & Finance teams to create significant impact for our users & business. We also work very closely with Business Intelligence, Data Engineering & Software Engineering teams to advance our data infrastructure. We have a cutting edge AB Testing program, automations and advanced data tools to deliver high quality analyses very efficiently.

Requirements

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.

Nice To Haves

Experience with building machine learning/predictive models.

Responsibilities

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.