Senior Data Scientist, Product Analytics (Remote & Equity)

BOLD; Utah; À distance; USD 140 000 - 190 000; Plein temps

Avantages offerts par ce poste

Equity in company

Flexible spending accounts (health, D估

Internet and home office reimbursement

Medical, dental, and vision (optional)

Résumé du poste

BOLD is seeking a Senior Data Scientist, Product Analytics to deliver high-impact insights that shape product strategy. You will partner with product, marketing, and finance to drive data-driven decisions and support executive level analysis.

You will own analyses, AB testing, and collaboration with BI/ Data Engineering to enhance data infrastructure. A strong track record in quantitative analysis and experience with SQL, Python/R, and BI tools is essential.

Qualifications

• 7+ years of quantitative data analysis experience, preferably in internet or tech.
• Bachelor's or Master's in Math, Engineering, Statistics, or similar quantitative field.

Responsabilités

• Conduct in-depth analysis to uncover opportunities for product improvements.
• Proactively deliver data-driven insights and recommendations to stakeholders.
• Collaborate with Engineering to advance data infrastructure and governance.
• Write complex SQL queries to drive critical business decisions.
• Collaborate with Product, Marketing, and Finance to impact users and business.
• Support AB testing programs and data-driven decision making.

Connaissances

Quantitative analysis

SQL

Python/R

BI tools

Data storytelling

Stakeholder communication

Formation

Bachelor's or Master's in Math/Engineering/Statistics

Outils

Tableau

Looker

Google Analytics

Mixpanel

Description du poste

BOLD is seeking a Senior Data Scientist, Product Analytics to deliver high-impact insights that shape product strategy. You will partner with product, marketing, and finance to drive data-driven decisions and support executive level analysis.

You will own analyses, AB testing, and collaboration with BI/ Data Engineering to enhance data infrastructure. A strong track record in quantitative analysis and experience with SQL, Python/R, and BI tools is essential.