Senior Data Scientist, Product Analytics — Remote & Equity

BOLD; California City (CA); Remote; USD 120,000 - 190,000; Full time

Benefits offered by this job

Equity

Health insurance

Dental insurance

Vision insurance

Internet reimbursement

Home office reimbursement

Life insurance

Disability insurance

Wellness reimbursement

Flexible PTO

Sick leave

Holidays

Job summary

BOLD is seeking a Senior Data Scientist, Product Analytics to deliver critical insights that influence product strategy and executive decision making. You will work with cross-functional teams, including Analytics, Data Science, and Engineering, to drive data-driven product decisions and optimize performance.

The role requires extensive experience in quantitative analysis, strong SQL skills, and proficiency in Python or R, with hands-on use of BI tools and analytics platforms.

Qualifications

• 7+ years of quantitative data analysis experience.
• Ability to write complex SQL queries to drive critical business decisions.
• Bachelor's or Master's in Math, Engineering, Statistics, or other quantitative field with academic excellence.
• Proficiency with Python or R.
• Proficiency with BI tools such as Tableau or Looker.
• Experience with Google Analytics, Mixpanel or other front-end analytical platforms.

Responsibilities

• Conduct in-depth analysis to uncover opportunities for improving our products.
• Proactively provide data-driven insights and recommendations to business stakeholders.
• Collaborate with Engineering to advance data infrastructure and governance.

Skills

SQL

Python/R

Education

Bachelor's or Master's in Math/Engineering/Statistics

Tools

Tableau/Looker

Google Analytics

Mixpanel

Job description

BOLD is seeking a Senior Data Scientist, Product Analytics to deliver critical insights that influence product strategy and executive decision making. You will work with cross-functional teams, including Analytics, Data Science, and Engineering, to drive data-driven product decisions and optimize performance.

The role requires extensive experience in quantitative analysis, strong SQL skills, and proficiency in Python or R, with hands-on use of BI tools and analytics platforms.