Senior Product Analytics Data Scientist - Remote | Equity

BOLD; Connecticut; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Equity in company

Flexible spending accounts (health, 1)

Internet and home office reimbursement

Medical, dental, and vision

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 deliver high-impact insights to product, marketing and finance teams. You will own analyses of product performance, design experiments, and translate data into actionable recommendations.

You'll collaborate with Data Engineering, BI and Software Engineering to advance our data infrastructure, leverage SQL, Python/R and BI tools, and shape our product strategy in a fully remote role.

Qualifications

• 7+ years of quantitative data analysis experience.
• Proficiency with SQL to drive critical business decisions.
• Bachelor's or Master's in Math, Engineering, Statistics, or similar.
• Strong Python/R skills and BI tool experience (Tableau/Looker).
• Experience with GA/Mixpanel and front-end analytics.
• Track record delivering impactful business insights.

Responsibilities

• Conduct in-depth analyses to uncover opportunities for product improvements.
• Proactively generate data-driven insights and communicate to stakeholders.
• Collaborate with Engineering to advance data infrastructure and governance.
• Support AB testing, data-driven decision making, and cross-team analytics.

Skills

SQL

Python/R

BI Tools

Education

Bachelor's or Master's degree in a quantitative field

Tools

Google Analytics

Mixpanel

Job description

BOLD is seeking a Senior Data Scientist, Product Analytics to deliver high-impact insights to product, marketing and finance teams. You will own analyses of product performance, design experiments, and translate data into actionable recommendations.

You'll collaborate with Data Engineering, BI and Software Engineering to advance our data infrastructure, leverage SQL, Python/R and BI tools, and shape our product strategy in a fully remote role.