Data Scientist LOC:San Francisco Bay Area

100,000 - 200,000

Job Description:

CORE RESPONSIBILITIES

  • Programming in and further development of our proprietary data management system
  • Explore addition data sets and tools for inclusion in our DMPCreation of Attribution Models, Media Mix Models, Performance forecasting using time series and individual level data
  • Maintain data integrity of system including Hive clusters in Amazon Web Service
  • Aid in development of campaign planning items including: development of performance forecasts, defining key success metrics, setting a reporting schedule, and creating report templates
  • Work closely with Account Managers, Planning, and Ad Trafficking to ensure campaign-tracking mechanisms to learn according to the measurement plan are put into place and data collection is functioning correctly
  • Ensure that marketing campaigns are optimized against data findings, including identification of best-performing media sites, ad creative versions, and offers
  • Facilitate consistent measurement and data reporting processes across multiple campaigns
QUALIFICATIONS

  • Professional or academic background in programming
  • Advanced degree in statistics / advanced math / econometrics preferred
  • Experience manipulating messy data and merging large complicated data sets
  • Programming experience in Python (pandas preferred), Java, Linux command line
  • Experience building predictive and descriptive models
  • A strong ability to efficiently and accurately manage and maintain large data sets.
  • Strong Knowledge of database tools such as SQL/MySQL, OLAP, and MDX.
  • Knowledge of non-relationalbig data techniques: MapReduce, Hive / Hadoop, Hbase
  • Knowledge of statistics packages is also preferred: SPSS, Stata, R, or SAS
  • Understanding of SARIMA models and advanced analytics techniques
  • Basic understanding of digital media and/or web analytics tools preferred (DCM, GA, Omniture, Atlas, etc)
  • Basic understanding of offline media research and measurement tools preferred (Simmons, MRI, Kantar/AdViews, etc)
  • A curious and creative mindset
  • Experience finding the story in a set of numbers
  • Strong attention to detail
  • The ability to deliver quickly and accurately
  • Clear and concise written and verbal skills


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