Job Description
DATA SCIENTIST II, PRODUCT ANALYTICS
at BOLD
United States (Remote)
We are looking for a Data Scientist II, Product Analytics to join the Data Analytics team at BOLD! This team partners with Product, Marketing, and Finance to produce world-class analysis and provide recommendations that improve our products and increase customer engagement.
This position is 100% remote, work from home (within lawfully allowed States). In some areas of the US, you may utilize a co-work space (when you’d like).
Lawfully allowed states: Arizona, California, Colorado, Connecticut, Florida, Georgia, Illinois, Iowa, Kentucky, Maine, Maryland, Massachusetts, Minnesota, Nevada, New Hampshire, New Jersey, New York, North Carolina, Ohio, Oklahoma, Oregon, Pennsylvania, Tennessee, Texas, Utah, Virginia, Washington
ABOUT THIS TEAM
Reporting to the Director of Product Analytics, the Data Scientist II, Product Analytics will provide critical insights to business partners and strategic support to the executive team. You will also have your fingers on the pulse of the business and develop metrics and reporting to keep the organization informed. Through your high-quality analysis and attention to detail, you will be the go-to person for product performance and insights. The ideal candidate is highly motivated and will use their technical skills and business acumen to quickly make an impact!
WHAT YOU’LL DO
- Conduct in-depth analysis to uncover opportunities for improving our products.
- Work closely with business partners to extract meaningful insights using a variety of data sources: relational databases, front-end analytics tools, clickstream data, etc.
- Present insights and recommendations to executive leadership using high quality visualizations and concise messaging.
- Design and analyze A/B tests to drive KPI improvements.
- Build machine learning models to predict customer behavior and better understand the drivers of customer engagement and retention.
- Develop dashboards to inform business decisions with an emphasis on automation and scalability.
- Collaborate with Engineering to advance data infrastructure and governance.
WHAT YOU’LL NEED
- 5+ 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.
- Self-starter with a desire to learn and the ability to rapidly understand the business and its drivers.
- Proficiency with Python/R
- Experience with building machine learning/predictive models.
- Ability to handle multiple projects and meet deadlines in a fast-paced environment.
WHAT’S GOOD TO HAVE
- Proficiency with BI tools such as Tableau, Looker, or equivalent
- Experience with Google Analytics, MixPanel or other front-end analytical platforms a plus.
- Experience with NLP (Natural Language Processing) is a plus.
