Experience leading projects or teams with a clear track record of success.
Experience with data analysis and visualization.
Experience with statistical programming (e.g., R, Python) and database languages (e.g., SQL).
Ability to work independently, as well as collaborate with others.
Ability to translate hard product goals and business problems into data science problems, draw conclusions from data, and recommend actions.
Ability to automate analytic tasks.
Excellent written and verbal presentation skills.
Things to expect in this role:
Build data products (data sets, analysis, models etc.) and tools to drive hypothesis generation and decision making in partnership with engineering and product management teams.
Create actionable metrics and design effective experiments.
Develop models/analysis to mine large volume of data, extract insights and explore opportunities for
Automate analysis and pipelines via SQL and Python/Scala based ETL frameworks.
Communicate insights to engineering, product management, and executive teams, and drive product decisions with data.
Education & Experience
MS or PhD inStatistics, ComputerScience, Physics, Operations Research, or similar quantitative domain. Alternatively, a comparable industry career with significant
experience in data analytics.
5+ years working experience delivering and scaling highly successful and innovative experiments and data
Experience with AB testing.
Experience with big data using technologies like Hadoop, Hive ,and Spark.
Experience with Scala/Java.
Experience with information retrieval and/or the mapping/transportation industry.
Experience with large scale machine learning algorithms.
Experience with human judgement platforms (e.g .MTurk).