Senior Data Scientist (AI)

TL;DR

Senior Data Scientist (AI): Leading the development of statistical, econometric, optimization, and machine learning models for AI product offerings with an accent on experimental design, data interpretation, and product performance analysis. Focus on driving business value from ideation to production through cross-functional collaboration and influencing senior leadership.

Location: Hybrid (San Francisco, CA) for US based applicants.

Salary: $250,000–$300,000 annually + equity + benefits (US based applicants)

Company

hirify.global is an AI marketing platform for 1:1 personalization, unifying SMS, RCS, email, and push notifications to deliver bespoke experiences for over 8,000 customers globally.

What you will do

• Lead the development of statistical, econometric, optimization, and machine learning models for messaging and AI product offerings.
• Design and execute experiments, interpreting results and drawing actionable conclusions.
• Analyze product performance data to identify improvement opportunities and define roadmaps.
• Present findings to senior leadership to inform and influence business decisions.
• Collaborate with cross-functional teams (product, engineering, client services, sales) from ideation to production.

Requirements

• Ph.D., M.S. or Bachelor's degree in Statistics, Economics, Machine Learning, Operations Research, or other quantitative fields.
• Knowledge of mathematical foundations in statistics, machine learning, optimization, economics, and analytics.
• Experience with experimental design and analysis.
• Proficiency in exploratory data analysis, statistical analysis and testing, and model development.
• Ability to use Python efficiently with large datasets.
• Advanced proficiency in SQL.

Nice to have

• 4+ years of industry experience as an Applied or Data Scientist.
• Familiarity with advanced statistical inference, experimentation, and causal inference methods.
• Econometric experience with pricing, promotion optimization, and customer lifetime value modeling.
• Experience in personalization systems and cross-sectional cohort modeling.
• Background in operations research (e.g., scheduling or assignment problems).
• Knowledge of advanced topics in XGBoost modeling.

Culture & Benefits

• Competitive perks and benefits, from health & wellness to equity.
• Company values include: Default to Action, Be One Unstoppable Team, Champion the Customer, and Act Like an Owner.
• Commitment to diversity, inclusion, and equal employment opportunities.
• Provides reasonable accommodations for candidates with disabilities.