Info This role may also be located in our Playa Vista, CA campus.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Seattle, WA, USA; Ann Arbor, MI, USA; Atlanta, GA, USA; Austin, TX, USA; Chicago, IL, USA; Mountain View, CA, USA; New York, NY, USA; Los Angeles, CA, USA; San Francisco, CA, USA; Washington D.C., DC, USA.
This role may also be located in our Playa Vista, CA campus.
Note: By applying to this position you will have an opportunity to share your preferred working location from the following:.
Minimum qualifications:
Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.
3 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a relevant PhD degree.
Experience with data science tech stack (e.g., Python) and database languages (e.g. SQL).
Preferred qualifications:
PhD degree in Computer Science, Statistics, or other relevant quantitative disciplines, or an equivalent amount of machine learning experience.
Familiarity with reporting solutions, and visualization/dashboarding tools.
Proven ability to translate ambiguous business needs into clear technical requirements for impactful data products.
Ability to take initiative with excellent leadership and communication skills.
Comfortable with engineering best practices, including developing BRDs/PRDs/Design Docs, code reviews, etc., ensuring analytical accuracy.