About Slickdeals:

On a mission to bring the joy of discovering a great deal to shoppers, Slickdeals thrives on the active participation of its 12-million-strong community. Users share, upvote, and uncover the best prices on popular products from trustworthy brands.

With a robust track record of 24 years in business, marked by profitability and a thriving community that has saved more than $10 billion, Slickdeals is currently undergoing a transformation. As we evolve into a daily shopping destination for millions more, joining Slickdeals presents an exciting opportunity for entrepreneurially minded builders to create an innovative deal discovery platform.

The Purpose:

The Business team at Slickdeals is seeking a Sr. Data Scientist, Business Analytics to build the tooling, processes, and reporting that will enable the company to deeply understand the dynamics of our ecosystem and how our users use the product. As one of the first Data Scientists on the Business team, you will be responsible for defining and measuring the health of the business and generating the quantitative insights that inform our business strategy.

What You’ll Do:

• Report to the VP Business Operations and partner directly with the Business team leadership across Sales, Marketing, Community and Operations while working closely with data engineering 
• Analyze large datasets using SQL and scripting languages to surface actionable insights and opportunities to the Business team and other key stakeholders
• Approach problems from first principles, using a variety of statistical and mathematical modeling techniques to research and understand advocate and customer behavior
• Design and analyze A/B experiments to evaluate the impact of changes we make to our operational processes and tools
• Build, forecast, and report on OKRs and KPIs that drive strategy and facilitate decision making for key business initiatives
• Build and share data visualizations and self-serve dashboards for your partners
• Effectively communicate your work with team leads and cross-functional stakeholders on a regular basis
• Work with Data Engineering to log new, useful data sources as we evolve Business processes, tooling, and features
• Drive decisions about Business tooling and process that improve data access, our learning velocity, and experiment hygiene

What We’re Looking For: