Senior Data Scientist, Product Analytics (Remote + Equity)

BOLD; Lorida (FL); Remote; USD 130,000 - 190,000; Full time

Benefits offered by this job

Equity in company

Flexible spending accounts (health, 0

Internet and home office reimbursement

Medical, dental, and vision (optional)

Life & long-term disability insurance

Wellness reimbursement

Flexible Time Away

Flexible PTO

Sick time policy

Observed holidays

Job summary

Bold is seeking a Senior Data Scientist, Product Analytics to empower product strategy with high-quality data analyses. You will drive product insights, support executive decisions, and partner with Analytics, Product, Marketing, Finance, BI, and Engineering teams on data-driven initiatives.

This 100% remote role demands 7+ years of quantitative analysis experience, strong SQL, Python/R, and BI tool proficiency. Equity and comprehensive benefits are part of our compensation package.

Qualifications

• 7+ years of quantitative data analysis experience, preferably in tech.
• Proficient in writing complex SQL queries.
• Strong Python or R skills.
• Experience with BI tools Tableau/Looker.
• Experience with Google Analytics and Mixpanel.
• Familiarity with AI technologies.

Responsibilities

• Conduct in-depth analysis to uncover opportunities for improving our products.
• Proactively deliver data-driven insights and recommendations to stakeholders.
• Collaborate with Engineering to advance data infrastructure and governance.
• Support Product, Marketing, and Finance with analyses to inform strategic decisions.

Skills

SQL

Python

R

Data analysis

Stakeholder communication

Education

Bachelor's or Master's in quantitative field

Tools

Tableau

Looker

Google Analytics

Mixpanel

Job description

Bold is seeking a Senior Data Scientist, Product Analytics to empower product strategy with high-quality data analyses. You will drive product insights, support executive decisions, and partner with Analytics, Product, Marketing, Finance, BI, and Engineering teams on data-driven initiatives.

This 100% remote role demands 7+ years of quantitative analysis experience, strong SQL, Python/R, and BI tool proficiency. Equity and comprehensive benefits are part of our compensation package.