Senior Data Scientist - Marketing Experiments Lead

Fractal; Sunnyvale (CA); On-site; USD 140,000 - 150,000; Full time

Benefits offered by this job

Health, dental, and vision insurance

401(k) Plan

11 paid holidays

12 weeks of Parental Leave

Flexible PTO policy

Job summary

A leading data analytics company located in Sunnyvale, California, seeks a Senior Data Scientist passionate about marketing, data science, and experimentation. This role will involve leading the statistical design and execution of experimentation programs while applying advanced statistical methods for marketing insights. The ideal candidate has 7-10 years of experience in quantitative analytics and strong data querying skills in SQL and scripting in Python or R. The compensation is $140,000 - $150,000, along with various benefits, including health insurance and paid holidays.

Qualifications

• Deep expertise in statistical hypothesis testing, including power analysis and p-values.
• Experience with dynamic optimization methods like Multi-Armed Bandits.
• Strong data querying skills in SQL and proficiency in Python or R.

Responsibilities

• Own end-to-end statistical design and analysis of A/B tests.
• Apply advanced statistical methods to enhance experimentation speed.
• Serve as the statistical methodology owner for the experimentation platform.

Skills

Experimentation design

Statistical hypothesis testing

SQL

Python or R

Communication skills

Project management

Education

Bachelor's degree in Statistics, Data Science, Mathematics, Operations Research, or Computer Science

Master's or PhD in a quantitative discipline

Tools

Adobe Target

Optimizely

Job description

A leading data analytics company located in Sunnyvale, California, seeks a Senior Data Scientist passionate about marketing, data science, and experimentation. This role will involve leading the statistical design and execution of experimentation programs while applying advanced statistical methods for marketing insights. The ideal candidate has 7-10 years of experience in quantitative analytics and strong data querying skills in SQL and scripting in Python or R. The compensation is $140,000 - $150,000, along with various benefits, including health insurance and paid holidays.