Remote Senior Data Scientist, Product Analytics & Insights

BOLD

Oklahoma City (OK)

Remote

USD 145,000 - 170,000

Full time

4 days ago
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Benefits offered by this job

Bi-annual bonus
401(k) with match
Equity in company
Flexible spending accounts
Internet and home office reimbursement
100% Full Health Benefits

Job summary

BOLD in the United States is seeking a Senior Data Scientist, Product Analytics, to deliver actionable insights that influence product strategy and executive decisions. You will own analyses from data collection to storytelling, working closely with product teams and engineering.

The role requires 7+ years of quantitative analysis, fluency in SQL and Python/R, and experience with BI tools. You’ll build dashboards, analyze experiments, and communicate results to non-technical stakeholders while

Qualifications

  • 7+ years of quantitative data analysis experience in tech.
  • Strong SQL skills and ability to tell data stories to stakeholders.
  • Advanced statistics knowledge and ability to explain concepts clearly.
  • Bachelor's or Master's in a quantitative field with academic excellence.
  • Proficiency in Python or R and BI tools (Tableau/Looker).

Responsibilities

  • Perform in-depth analyses to uncover product opportunities.
  • Build advanced models and analytics tools for insights.
  • Communicate data-driven insights to business stakeholders.
  • Analyze A/B tests to improve conversion and engagement.
  • Develop dashboards for informed decisions with automation.
  • Collaborate with Engineering to advance data infra and governance.

Skills

SQL
Statistics
Python
R
Tableau
Looker
Google Analytics
Mixpanel
Communication

Education

Bachelor's or Master's in Math, Engineering, Statistics, or related quantitative field

Job description

BOLD in the United States is seeking a Senior Data Scientist, Product Analytics, to deliver actionable insights that influence product strategy and executive decisions. You will own analyses from data collection to storytelling, working closely with product teams and engineering.

The role requires 7+ years of quantitative analysis, fluency in SQL and Python/R, and experience with BI tools. You’ll build dashboards, analyze experiments, and communicate results to non-technical stakeholders while

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