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Sr. Product Data Scientist II
Ref No.: 20-05115
Location: Menlo Park, California
Product Data Scientist
Tailored Management is seeking a Data Scientist to work onsite at our client's Menlo Park, CA campus on a contract basis. This is an excellent opportunity to join the world's largest social media network who enables over a billion users to openly connect with friends and family, share content, and explore the world.

Contract Length: 7+ Months
Location: Menlo Park, CA

The Data Scientist Analytics role has work across the following four areas:
  • Product Operation: forecasting and setting product team goals, designing and evaluating experiments, monitoring key product metrics, understanding root causes of changes in metrics, building and analyzing dashboards and reports, building key data sets to empower operational and exploratory analysis, evaluating and defining metrics.
  • Exploratory Analysis: proposing what to build in the next roadmap, understanding ecosystems, user behaviors, and long-term trends, identifying new levers to help move key metrics, building models of user behaviors for analysis or to power production systems.
  • Product Leadership: influencing product teams through presentation of data-based recommendations, communicating state of business, experiment results, etc. to product teams, spreading best practices to analytics and product teams.
  • Data Infrastructure: working in Hadoop and Hive primarily, sometimes MySQL, Oracle, and Vertica, automating analyses and authoring pipelines via SQL and Python based ETL framework

Minimum Qualifications
  • 4+ years' experience doing quantitative analysis within a large-scale company or similar fast-paced environment.
  • Experience in SQL or other programming languages.
  • Development experience in any scripting language (PHP, Python, Perl, etc.)
  • Experience in communicating the results of analyses with product and leadership teams to influence the strategy of the product.
  • Knowledge of statistics (e.g. hypothesis testing, regressions)
  • Experience manipulating data sets through statistical software (e.g. R, SAS) or other methods.
Preferred Qualifications
  • Experience with distributed computing (Hive/Hadoop)
  • Experience working within the tech sector preferred
  • BA/BS in Computer Science, Economics, Econometrics, Applied Math, Physics, Engineering, Statistics, or other technical fields.
  • Relevant Experience (Applied Stats, Economics, Econometrics, Behavioral Economics, Data science, Applied Math or similar degree). MS degree preferred.