Senior Data Scientist, Product Analytics - Remote & Impact

BOLD; Maryland; Remote; USD 120,000 - 180,000; Full time

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 is seeking a Senior Data Scientist, Product Analytics to partner with product, marketing and finance teams. You will deliver high-impact analyses, support product strategy, and drive data-informed decisions through SQL, Python/R, and BI tools in a fully remote role.

You'll collaborate with Engineering and Data teams to advance data infrastructure and governance, own complex analyses, and communicate insights clearly to stakeholders across the business.

Qualifications

• 7+ years of experience performing quantitative data analysis, preferably for an internet or technology company.
• Ability to write complex SQL queries to drive critical business decisions.
• Proficiency with Python/R.
• Proficiency with BI tools such as Tableau, Looker, or equivalent.
• Experience with Google Analytics, MixPanel or other front-end analytical platforms.
• Experience with using AI technologies (e.g. Bi-annual bonus)

Responsibilities

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

Skills

Quantitative data analysis

SQL

Python/R

Data storytelling

BI tools familiarity

Education

Bachelor's or Master's in quantitative field

Tools

Tableau

Looker

Google Analytics

Mixpanel

Job description

BOLD is seeking a Senior Data Scientist, Product Analytics to partner with product, marketing and finance teams. You will deliver high-impact analyses, support product strategy, and drive data-informed decisions through SQL, Python/R, and BI tools in a fully remote role.

You'll collaborate with Engineering and Data teams to advance data infrastructure and governance, own complex analyses, and communicate insights clearly to stakeholders across the business.