Senior Product Analytics Scientist (Remote)

BOLD

Portland (ME)

Remoto

USD 145.000 - 170.000

Tempo pieno

5 giorni fa
Candidati tra i primi

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Vantaggi offerti da questo lavoro

Outstanding Compensation
Bi-annual bonus
401(k) plan with match
Equity in company
Internet and home office reimbursement
100% Full Health Benefits
Medical, dental, and vision (optional)

Descrizione del lavoro

BOLD is seeking a Senior Data Scientist, Product Analytics to deliver critical insights for product strategy and executive decision-making. You will leverage advanced analytics, statistics, and strong business sense to inform product direction, performance tracking, and data-driven recommendations.

You'll partner with Product, Marketing, and Finance, building dashboards, conducting deep analyses, and refining data infrastructure.

Competenze

  • 7+ years of experience in quantitative data analysis for internet/tech.
  • Ability to write complex SQL queries to drive critical business decisions.
  • Strong statistics foundation with ability to explain concepts to non-technical audiences.
  • Bachelor's or Master's in Math, Engineering, Statistics or other quantitative field with strong academics.

Mansioni

  • Conduct in-depth analyses to uncover opportunities to improve our products.
  • Build advanced models and analytics tools to boost product insights and recommendations.
  • Proactively derive data-driven insights and communicate them to stakeholders.
  • Analyze A/B tests to improve user conversion and engagement.
  • Develop dashboards informing business decisions with a focus on automation and scalability.
  • Collaborate with Engineering to advance data infrastructure and governance.

Conoscenze

SQL
Statistics
Python/R
Communication
Data storytelling

Formazione

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

Strumenti

Tableau
Looker
Google Analytics
Mixpanel

Descrizione del lavoro

BOLD is seeking a Senior Data Scientist, Product Analytics to deliver critical insights for product strategy and executive decision-making. You will leverage advanced analytics, statistics, and strong business sense to inform product direction, performance tracking, and data-driven recommendations.

You'll partner with Product, Marketing, and Finance, building dashboards, conducting deep analyses, and refining data infrastructure.

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