Director, Product Analytics & Data Science

| San Mateo, CA, USA
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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. 

What You'll Do:

The Product team at Slickdeals is seeking a Product Analytics & Data Science Director to build the team, tooling, and processes that will enable the company to deeply understand the dynamics of our ecosystem and how our users use the product. This role will be responsible for defining and measuring the health of the product and generating the quantitative insights that inform our product strategy. You will:

  • Build and nurture a high performing team of analysts/data scientists 
  • Partner with the leadership team to define and measure the health of the Slickdeals ecosystem
  • Be a co-owner of the product strategy and help define OKRs that lead to positive business outcomes 
  • Generate and answer key strategic questions with digestible insights and visualizations that enable and motivate the product engineering teams to deliver more value to our customers and the business 
  • Partner with the Data Engineering team to identify and prioritize requirements for our data pipeline 
  • Drive decisions about tooling and process that improve data access, our learning velocity, and experiment hygiene

What We're Looking For:

  • 5+ years of experience with product analytics or data science at a tech company
  • 1+ years of management experience
  • Proficiency with data mining, statistical analysis, pattern recognition, and predictive modeling
  • Proficiency with Excel, SQL, statistical modeling tools (eg. Python or R), and data visualization/business intelligence tools (ex. Tableau or Looker)
  • Demonstrated ability to motivate and empower teams to make good decisions with data and data visualizations 
  • Demonstrated ability to create clarity and focus for your team in a fast-paced environment  through good process and cross-functional collaboration 
  • Willingness and ability to dive in and do analysis on your own (we are a small and scrappy team!)
  • Bonus points if you have e-commerce or two-sided marketplace experience 

LOCATION: Los Angeles, San Mateo, or Las Vegas

Flexible hybrid schedule visiting our Los Angeles, San Mateo, or Las Vegas office.

Slickdeals Compensation, Benefits, Perks:

  • Competitive salary and equity 
  • Competitive paid time off in addition to holiday time off
  • A variety of healthcare insurance plans to give you the best care for your needs
  • 401K matching above the industry standard
  • Professional Development Reimbursement Program and LinkedIn Learning Membership

Work Authorization
Candidates must be eligible to work in the United States.
Slickdeals is an Equal Opportunity Employer; employment is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender (including pregnancy, childbirth, or related medical conditions), national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other protected status. Slickdeals will consider qualified applicants with criminal histories consistent with the "Ban the Box" legislation. We may access publicly available information as part of your application.

Slickdeals participates in E-Verify. For more information, please refer to E-Verify Participation and Right to Work.

Slickdeals does not accept unsolicited resumes from agencies and is not responsible for related fees.

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San Francisco, CA

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