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Data Science Manager, Analytics - Tumblr


New York, New York
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Job Details

Data Science Manager, Analytics

Tumblr is seeking a manager well-versed in statistical analysis and algorithm design, ready to be let loose on Tumblr’s many terabytes of data.


What You'll Do

  • Experiment with big data, big systems, and big challenges with an extraordinarily small and talented team
  • Partner with Product and Engineering teams to solve problems and identify trends and opportunities for user growth
  • Empower each team to make data-driven decisions independently
  • Build key data set and user behavior models to empower exploratory analysis and influence product/business decisions
  • Work with the Director of of Data Science, Analytics to set goals and key metrics
  • Influence product decisions through data analysis while spreading best analytics practice to product teams
  • Create an environment in which your team members are continuously challenged and exposed to new opportunities.


What We’re Looking For

  • BA/BS degree in quantitative field strongly preferred.
  • 5+ years of experience working with very large datasets of varied levels of structure.
  • Experience managing a team of Product Analysts
  • Must have Python experience
  • Knowledge of SQL skills against large datasets.
  • Proven quantitative skills, ability to think analytically, and strong attention to details.
  • Experience vetting product ideas by forecasting business impact
  • Experience using multiple models and methods for measuring, analyzing, and reporting on user interaction data.
  • Extensive experience in solving analytical problems using quantitative approaches
  • Experience extracting data and deriving insights to facilitate product development
  • Experience with user growth and retention in an Internet-based company a plus
  • An effective manager and communicator who can articulate a clear direction for the team, set expectations for performance, and foster a positive working environment
  • Smarts, humility, and equal willingness to learn and teach.
  • Ability to work with APIs in Python a plus (e.g. Google Analytics, Tumblr).


Tools We Use

  • SQL, HQL, Python
  • Hive, MySQL
  • Tableau, Flask
  • Google Sheets, Excel
  • Git, Jira


Other Tools We Like

  • PHP
  • Hadoop
  • Jupyter, Luigi
  • Pandas, Scikit-learn