Senior Data Scientist, Product Analytics - Remote, Equity

BOLD

Kentucky

Remote

USD 140,000 - 180,000

Full time

6 days ago
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Benefits offered by this job

Equity in company
FSA health/dependent care
Internet reimbursement
Medical/Dental/Vision
Life Insurance
Wellness reimbursement
Flexible Time Off
Flexible PTO
Sick leave
Holidays

Job summary

BOLD is seeking a Senior Data Scientist, Product Analytics to deliver critical insights and strategic support to our executive team. You will own product performance analytics, collaborate across Engineering, Product, Marketing, and Finance, and contribute to AB testing programs with a focus on scalable data-driven decisions.

You will leverage SQL, Python/R, and BI tools to produce high-quality analyses, driving product strategy and improvements while ensuring governance and data quality across

Qualifications

  • 7+ years of quantitative data analysis experience, preferably at an internet/tech company.
  • Ability to write complex SQL queries for business decisions.
  • Proficiency with Python or R for advanced analytics.
  • Proficiency with BI tools such as Tableau or Looker.
  • Experience with Google Analytics, Mixpanel or similar front-end analytics tools.
  • Experience with AI technologies is a plus.

Responsibilities

  • Conduct in-depth analysis to identify opportunities to improve products.
  • Proactively generate data-driven insights and present clear recommendations to stakeholders.
  • Collaborate with Engineering to advance data infrastructure and governance.
  • Partner with Product, Marketing and Finance to drive business impact and strategy.
  • Support AB testing programs and data-driven decision making.

Skills

SQL queries
Python/R
BI tools
GA/Mixpanel
Data analysis
Stakeholder comms
Project mgmt
AI tech

Education

Bachelor's or Master's in quantitative field

Job description

BOLD is seeking a Senior Data Scientist, Product Analytics to deliver critical insights and strategic support to our executive team. You will own product performance analytics, collaborate across Engineering, Product, Marketing, and Finance, and contribute to AB testing programs with a focus on scalable data-driven decisions.

You will leverage SQL, Python/R, and BI tools to produce high-quality analyses, driving product strategy and improvements while ensuring governance and data quality across

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