Remote Senior Data Scientist, Product Analytics (Equity)

BOLD

Georgia

Remote

USD 110,000 - 170,000

Full time

6 days ago
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Benefits offered by this job

Equity in company
Flexible spending accounts
Internet and home office reimbursement
Medical, dental, and vision
Life & long-term disability insurance
Wellness reimbursement
Flexible Time Away
Flexible PTO
Sick time policy
Observed holidays

Job summary

BOLD, a global organization, is seeking a Senior Data Scientist, Product Analytics, to impact product strategy through high-quality analyses and insights. You will partner with business teams to understand needs and translate data into actionable recommendations.

This 100% remote role reports to the VP of Analytics & Data Science and involves collaboration across Product, Marketing, Finance, BI, Data Engineering, and Software Engineering to elevate data infrastructure and decision making.

Qualifications

  • 7+ years of quantitative data analysis experience, preferably for an internet or tech company.
  • Ability to write complex SQL queries to drive critical business decisions.
  • Bachelor's or Master’s degree in a quantitative field with academic excellence.
  • Proven track record of handling multiple projects and meeting deadlines.
  • Proficiency with Python and/or R.
  • Proficiency with BI tools such as Tableau or Looker.
  • Experience with Google Analytics, Mixpanel, or similar analytics platforms.
  • Experience with AI technologies.

Responsibilities

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

Skills

Python
R
SQL
BI tools (Tableau/Looker)
A/B testing
Data analysis
AI technologies

Education

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

Tools

Tableau
Looker
Google Analytics
Mixpanel

Job description

BOLD, a global organization, is seeking a Senior Data Scientist, Product Analytics, to impact product strategy through high-quality analyses and insights. You will partner with business teams to understand needs and translate data into actionable recommendations.

This 100% remote role reports to the VP of Analytics & Data Science and involves collaboration across Product, Marketing, Finance, BI, Data Engineering, and Software Engineering to elevate data infrastructure and decision making.

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