Senior Product Analytics Data Scientist (Remote, Equity)

BOLD; Heber (UT); Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Equity in company

Internet reimbursement

Medical, dental, and vision (optional)

Job summary

BOLD is seeking aSenior Data Scientist for Product Analytics to deliver insights that shape product strategy. You’ll partner with product, marketing, and finance to translate data into actionable recommendations, own AB testing analyses, and drive data-driven decisions across the organization.

You will collaborate with engineering and BI teams, write complex SQL, use Python/R, and leverage analytics tools like Tableau or Looker, GA, and Mixpanel.

Qualifications

• 7+ years of quantitative data analysis experience, preferably in internet/tech.
• Ability to write complex SQL queries for critical decisions.
• Bachelor's or Master's in Math, Engineering, Statistics or other quantitative field.
• Proven track record of managing multiple projects and deadlines in fast-paced environments.
• Proficiency with Python/R and BI tools (Tableau/Looker).
• Experience with Google Analytics and Mixpanel or similar platforms.
• Experience with AI technologies is a plus.

Responsibilities

• Conduct in-depth analysis to uncover opportunities for improving our products.
• Proactively generate data-driven insights and communicate them to stakeholders.
• Collaborate with engineering to advance data infrastructure and governance.

Skills

SQL

Python/R

Data analysis

Stakeholder communication

AB testing

Education

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

Tools

Tableau

Looker

Google Analytics

Mixpanel

Job description

BOLD is seeking aSenior Data Scientist for Product Analytics to deliver insights that shape product strategy. You’ll partner with product, marketing, and finance to translate data into actionable recommendations, own AB testing analyses, and drive data-driven decisions across the organization.

You will collaborate with engineering and BI teams, write complex SQL, use Python/R, and leverage analytics tools like Tableau or Looker, GA, and Mixpanel.