Senior Data Scientist, Product Analytics (Remote)

BOLD

Massachusetts

Remote

USD 150,000 - 210,000

Full time

6 days ago
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Benefits offered by this job

Equity in company
Flexible spending accounts (health, 2)
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 is seeking a Senior Data Scientist in Product Analytics to deliver crucial insights that shape our product strategy. You will work closely with stakeholders across Product, Marketing, and Finance, performing advanced analyses and driving data-informed decisions.

You will partner with Engineering and BI teams to advance data infrastructure, build scalable analytics, and leverage tools like Tableau, Looker, Google Analytics, and Mixpanel to impact user experience and business outcomes.

Qualifications

  • 7+ years of quantitative data analysis experience.
  • Ability to write complex SQL queries to drive critical business decisions.
  • Bachelor's or Master's degree in Math, Engineering, Statistics, or related quantitative field.
  • Proficiency with Python and/or R.
  • Experience with BI tools such as Tableau or Looker.

Responsibilities

  • Conduct in-depth analysis to uncover opportunities for improving products.
  • Proactively generate data-driven insights and communicate them to stakeholders.
  • Collaborate with Engineering to advance data infrastructure and governance.
  • Support Product, Marketing, and Finance with analyses to impact users and business.

Skills

SQL
Python
R
Tableau
Looker
Google Analytics
Mixpanel
AI tech

Education

Quantitative degree (Bachelor's or Master's)

Tools

Tableau
Looker
Google Analytics
Mixpanel

Job description

BOLD is seeking a Senior Data Scientist in Product Analytics to deliver crucial insights that shape our product strategy. You will work closely with stakeholders across Product, Marketing, and Finance, performing advanced analyses and driving data-informed decisions.

You will partner with Engineering and BI teams to advance data infrastructure, build scalable analytics, and leverage tools like Tableau, Looker, Google Analytics, and Mixpanel to impact user experience and business outcomes.

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