Senior Product Analytics Scientist — Remote & Impact

BOLD

United States

Remote

USD 145,000 - 170,000

Full time

35 hours ago
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Benefits offered by this job

401(k) plan with match
Equity in company
Flexible spending accounts
Internet and home office reimbursement
Bi-annual bonus
Healthcare benefits

Job summary

BOLD is seeking a Senior Data Scientist, Product Analytics to drive product insights and strategic support for the executive team. You will lead analyses, build models, and create dashboards that inform product strategy and improve user experience.

You will collaborate closely with Analytics, Product, Marketing, and Finance teams, leveraging SQL, Python/R, and BI tools to generate actionable recommendations and scalable solutions. This is a remote role with strong business impact.

Qualifications

  • 7+ years of experience in quantitative data analysis for internet/tech
  • Strong SQL for driving critical business decisions
  • Solid statistical foundation with ability to explain concepts to non-technical audiences
  • Proven ability to manage multiple projects and deliver business impact
  • Proficiency with Python or R and BI tools

Responsibilities

  • Conduct in-depth analysis to uncover opportunities to improve products
  • Build advanced models and analytics tools to boost product insights
  • Communicate data-driven insights and recommendations to stakeholders
  • Analyze AB tests to drive user conversion and engagement
  • Develop dashboards to inform business decisions with automation and scalability
  • Collaborate with Engineering to advance data infrastructure and governance

Skills

SQL
Statistics
Python/R
Communication

Education

Bachelor's/Master's in quantitative field

Tools

Tableau
Looker
GA/Mixpanel

Job description

BOLD is seeking a Senior Data Scientist, Product Analytics to drive product insights and strategic support for the executive team. You will lead analyses, build models, and create dashboards that inform product strategy and improve user experience.

You will collaborate closely with Analytics, Product, Marketing, and Finance teams, leveraging SQL, Python/R, and BI tools to generate actionable recommendations and scalable solutions. This is a remote role with strong business impact.

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