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Uber Senior Scientist - Earner 
United States, West Virginia 
356359550

22.11.2024
What you will do
  • Propose, design, and analyze large scale online experiments
  • Define and implement metrics to measure product performance
  • Present findings to business and executive audiences
  • Collaborate with engineers and product managers to implement ideas and plan future roadmaps
Basic Qualifications
  • Ph.D., MS or Bachelors degree in Economics, Operations Research, Statistics, Computer Science, or other quantitative field
  • 4+ years of industry experience as an Applied or Data Scientist or equivalent
  • Background in at least one programming language (eg. R, Python, Java, Ruby, Scala/Spark or Perl)
  • Coding and SQL proficiency and ability to develop statistical analysis and algorithm prototyping in Python or R
  • 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

Preferred Qualifications

  • 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
  • Knowledge of experimental design and analysis or experience with exploratory data analysis and model development
  • Experience communicating qualitative research methods and findings to non-qualitative researchers
  • Track record of engaging senior leadership effectively to build understanding of and consensus for the viewpoints of the team
  • Solid theoretical and applied ML skills and a strong background in mathematics and stats
  • Solid Programming skills to prototype models in at least one of Python (preferably), R, Java, Go, Scala
  • Expert in one of the following areas: Deep learning, ML System Design, A/B experimentation design, Causal Inference
  • Experience of working with large dataset using Spark, Hive, HDFS is desired
  • Analyze large data sets to identify behavior trends among good users and bad actors, using statistics, data mining, and machine learning techniques
  • Thought leadership to drive multi-functional projects from concept to production.

* Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to .