Senior Product Analytics Data Scientist - Remote

BOLD; Annapolis (MD); Remote; USD 145,000 - 170,000; Full time

Benefits offered by this job

Competitive salary

Bi-annual bonus

401(k) plan with match

Equity in company

Flexible spending accounts

Internet and home office reimbursement

Job summary

Bold is seeking a Senior Data Scientist for Product Analytics to drive product strategy through high-quality analyses and robust data insights. You will partner with executives and product teams to influence decisions, build predictive models, and develop scalable dashboards that automate reporting.

The role requires a strong technical background, excellent communication skills, and a proven track record of delivering business impact in a fast-paced environment.

Qualifications

• 7+ years' experience performing quantitative data analysis in a tech environment.
• Ability to write complex SQL queries to drive critical decisions.
• Strong understanding of statistics and ability to explain concepts to non-technical audiences.
• Degree in a quantitative field with academic excellence.

Responsibilities

• Conduct in-depth analysis to uncover opportunities to improve products.
• Build advanced models and analytics tools to boost product insights.
• Proactively derive data-driven insights and communicate them to stakeholders.
• Analyze A/B tests to drive user conversion and engagement.
• Develop dashboards to inform business decisions with automation and scalability.
• Collaborate with Engineering to advance data infrastructure and governance.

Skills

Quantitative data analysis

SQL

Statistics

Python/R

Communication

BI tools (Tableau/Looker)

Analytics platforms (GA/Mixpanel)

Education

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

Tools

Tableau

Looker

Google Analytics

Mixpanel

Job description

Bold is seeking a Senior Data Scientist for Product Analytics to drive product strategy through high-quality analyses and robust data insights. You will partner with executives and product teams to influence decisions, build predictive models, and develop scalable dashboards that automate reporting.

The role requires a strong technical background, excellent communication skills, and a proven track record of delivering business impact in a fast-paced environment.