Senior Product Analytics Data Scientist - Remote + Equity

BOLD; California; A distancia; USD 140.000 - 210.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Equity in company

Flexible spending accounts (health, Dc

Internet and home office reimbursement

Medical, dental, and vision insurance

Life & long-term disability insurance

Wellness reimbursement

Descripción de la vacante

BOLD is seeking a Senior Data Scientist, Product Analytics to deliver critical insights that influence our product strategy and executive decisions. You will drive product performance analyses, AB testing, and data-driven recommendations across Product, Marketing, and Finance teams.

You will collaborate with Business Intelligence, Data Engineering, and Software Engineering to advance our data infrastructure and analytics capabilities.

Formación

• 7+ years of quantitative data analysis experience.
• Ability to write complex SQL queries.
• Bachelor's or Master's in Math, Engineering, Statistics, or other quantitative field.
• Proven track record delivering business impact across multiple projects.
• Proficiency with Python/R and BI tools (Tableau/Looker).
• Experience with analytics platforms (Google Analytics, Mixpanel).
• Experience with AI technologies is a plus.

Responsabilidades

• Conduct in-depth analyses to uncover opportunities for product improvement.
• Proactively provide data-driven insights and recommendations to stakeholders.
• Collaborate with Engineering to advance data infrastructure and governance.
• Support product, marketing, and finance teams with actionable analyses and AB testing.

Conocimientos

Python/R

Stakeholder communication

Educación

Bachelor's or Master's in quantitative field

Herramientas

SQL

Python

R

Tableau

Looker

Google Analytics

Mixpanel

Descripción del empleo

BOLD is seeking a Senior Data Scientist, Product Analytics to deliver critical insights that influence our product strategy and executive decisions. You will drive product performance analyses, AB testing, and data-driven recommendations across Product, Marketing, and Finance teams.

You will collaborate with Business Intelligence, Data Engineering, and Software Engineering to advance our data infrastructure and analytics capabilities.