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You will collaborate with other scientists, product managers, and business teams to understand the challenges in our space, then tackle problems that no one else has solved yet. We expect you to deliver end-to-end solutions rather than algorithms, and you will work closely with the engineers on the team to productionize, scale, and deploy your models world-wide.
Basic QualificationsPh.D., M.S. or Bachelor's degree in Statistics, Economics, Mathemathics, Computer Science, Machine Learning, Operations Research, or other quantitative fields.
Ability to use Python, SQL, R or similar technologies to work efficiently with large data sets
Design experiments and interpret the results to draw detailed and actionable conclusions across a variety of key performance indicators
4+ years of industry experience as an Applied or Data Scientist or equivalent.
Excellent communication skills: able to lead initiatives across multiple product areas and communicate findings with leadership and product teams.
Experience leading key technical projects and substantially influencing the scope and output of others.
Solid Programming skills to prototype models in at least one of Python (preferably), R, Java,
Expert in one of the following areas: (Operations Research, Operations Management, or Pricing) A/B experimentation design, Causal Inference
Experience of working with large dataset using Spark, Hive, HDFS is desired
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