Senior Data Scientist, Product Analytics - Remote & Equity

BOLD; Milton (MA); A distancia; USD 140.000 - 200.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Equity in company

Flexible spending accounts (health, 0%

Internet and home office reimbursement

Medical, dental, and vision insurance

Life & long-term disability insurance

Wellness reimbursement

Flexible Time Away

Flexible PTO

Sick time policy

Observed holidays

Descripción de la vacante

BOLD is seeking a Senior Data Scientist, Product Analytics to drive critical insights for product strategy and executive decision-making. You will deliver high-quality analyses, perform AB testing, and partner with Product, Marketing, and Finance to create measurable impact for users and the business.

You will work closely with Analytics, BI, Data Engineering, and Software Engineering to advance data infrastructure and governance, enabling scalable decision making in a fast-paced environment.

Formación

• 7+ years of quantitative data analysis experience.
• Strong SQL writing skills and data modeling ability.
• Proficiency in Python or R for data science tasks.
• Experience with BI tools and analytics platforms.

Responsabilidades

• Conduct in-depth analysis to uncover opportunities for product improvement.
• Proactively provide data-driven insights and communicate to stakeholders.
• Collaborate with Engineering to advance data infrastructure and governance.
• Support Product, Marketing, and Finance with analyses to impact strategy.

Conocimientos

Quantitative data analysis

SQL

Python/R

Tableau/Looker

Google Analytics/Mixpanel

Cross-functional collaboration

Educación

Bachelor's or Master's in quantitative field

Herramientas

Tableau

Looker

Google Analytics

Mixpanel

Descripción del empleo

BOLD is seeking a Senior Data Scientist, Product Analytics to drive critical insights for product strategy and executive decision-making. You will deliver high-quality analyses, perform AB testing, and partner with Product, Marketing, and Finance to create measurable impact for users and the business.

You will work closely with Analytics, BI, Data Engineering, and Software Engineering to advance data infrastructure and governance, enabling scalable decision making in a fast-paced environment.