Data Science Manager, Decision Science in San Francisco, CA

$150K - $200K(Ladders Estimates)

Glassdoor   •  

San Francisco, CA 94102

Industry: Consumer Technology


5 - 7 years

Posted 52 days ago

Decision Science at Glassdoor

The Decision Science team drives data-driven strategy and decision-making across the company through predictive analytics, proactive analyses, testing and optimization. We empower our partners with NoSQL data sources to self-serve on reporting, ad-hoc analyses and exploratory analysis, which helps keeping us focused on the high priority strategic business questions! We drive product prioritization and inform business strategy by developing a deep understanding of our users and clients. We partner with leaders across Product, Marketing, Business Operations and Sales.

This role

In this role, you will:

  • Manage a small and efficient team of data scientists to help optimize our job search experience [ UX, Search, personalization and matching]
  • Analyze customer demographic and behavioral big data to derive and develop and optimize targeted segmentation strategies
  • Apply advanced statistical tools to determine the incremental impact and return on investment of our offline and online marketing efforts
  • Define detailed data requirements and prioritize them with the Data Engineering team and ensure that data solutions developed are intuitive and meet the needs of the business users.
  • Support shaping the long-term road map for the B2C jobs product teams by ensuring data needs are considered as part of the product development process
  • Independently identify and bring industry best practices to life
  • Drive deep and holistic understanding of our users, for example:
  • What drives users engagement?
  • What are the drivers of repeat visits?
  • What is the optimal frequency and relevancy threshold for job alerts?
  • What is the LTV of a user across various channels?
  • Which new features and products should we be working on?
  • Generate a number of hypothesis and inform decision making for all these questions.


  • 5+ years of quantitative experience, ideally in a marketing function of an Internet company
  • 1+ years of management experience [ preferably 2+ years of mentoring experience ]
  • Track record in building great relationships with partners and presenting actionable analyses that led to meaningful business impact
  • Expert level usage of SQL or Hive
  • Experienced with coding in R, Python or Pyspark and using Machine Learning or regressions to explain and predict business outcomes
  • Thorough knowledge in statistics and experience with ideating, designing and analyzing A/B tests
  • Strong visualization skills and experience with BI tools (ex. Tableau).

Valid Through: 2019-10-18