Senior Product Data Scientist, Calling for Android and Business Communication

Apigee; San Francisco (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Apigee in San Francisco, CA is seeking an experienced data scientist to drive analytics for product and business decisions. You will design experiments, build models, and interpret results to inform roadmap choices.

The ideal candidate has 8+ years of analytics experience or 5+ with a Master's, strong Python/R/SQL skills, and a track record with A/B testing and large-scale data. Relocation not required; on-site in SF preferred.

Qualifications

• Minimum of a Bachelor's degree in a quantitative field.
• 8+ years analytics experience with statistical analysis and coding (Python/R/SQL) or 5+ years with a Master’s.
• Experience with A/B testing methodologies.

Skills

Analytics

Statistics

Python

R

SQL

A/B testing

Education

Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field

Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field

Job description

Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; San Francisco, CA, USA.

Minimum qualifications:

• Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
• 8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL), or 5 years of work experience with a Master's degree.
• Experience with A/B testing methodologies.

Preferred qualifications:

• Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
• Experience developing and using AI tools in the context of data science for large, consumer facing internet products.
• Experience with telephony, connectivity, or telecommunication systems.