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 .