Senior Product Analytics Scientist (Remote)

BOLD; Yuma (AZ); Remote; USD 145,000 - 170,000; Full time

Benefits offered by this job

Competitive salary

Bi-annual bonus

401(k) plan with match

Equity in company

Flexible spending accounts (health,)

Job summary

Bold is seeking a Senior Data Scientist for Product Analytics to deliver critical insights that drive our product strategy and executive-level decisions. You will own analyses, build models, and create dashboards that scale with our product roadmap, collaborating with Product, Marketing, and Finance teams.

The ideal candidate combines advanced analytics skills with business acumen and a proven ability to influence product direction through data.

Qualifications

• 7+ years of quantitative data analysis experience, ideally in internet/tech.
• Ability to write complex SQL queries for critical decisions.
• Strong statistics knowledge; explain concepts to non-technical partners.
• Bachelor's or Master's in a quantitative field with academic excellence.
• Proven track record of managing multiple projects and meeting deadlines.
• Excellent communication skills across audiences.
• Proficiency with Python and R.
• Proficiency with BI tools such as Tableau or Looker.

Responsibilities

• Conduct in-depth analyses to uncover product opportunities.
• Build advanced models and analytics tools for product insights.
• Communicate data-driven insights and recommendations to stakeholders.
• Analyze A/B tests to improve user conversion and engagement.
• Develop dashboards to inform business decisions with automation and scalability.
• Collaborate with Engineering to advance data infrastructure and governance.

Skills

Quantitative analytics

SQL

Statistics

Communication

Project management

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 for Product Analytics to deliver critical insights that drive our product strategy and executive-level decisions. You will own analyses, build models, and create dashboards that scale with our product roadmap, collaborating with Product, Marketing, and Finance teams.

The ideal candidate combines advanced analytics skills with business acumen and a proven ability to influence product direction through data.