Senior Data Scientist

TL;DR

Senior Data Scientist (Data Science/ML): Supporting the marketing intelligence product by delivering measurement solutions and contributing to core systems that help businesses understand marketing effectiveness. Focus on improving model accuracy, expanding measurement coverage, and troubleshooting measurement issues.

Location: Must be performed in the SF Bay Area or in the Pacific Time Zone in the US or Canada.

Salary: $160,000 - $190,000 USD

Company

hirify.global is building the world’s most advanced marketing intelligence platform, providing top eCommerce brands a unified view of their business data through powerful attribution modeling and customizable dashboards.

What you will do

• Support both new and existing data science–powered products.
• Contribute to forecasting and experimentation capabilities, improving model accuracy and expanding measurement coverage.
• Explain statistical concepts to customers, troubleshoot measurement issues, and gather feedback to enhance hirify.global's product suite.
• Collaborate with engineering and product teams to translate customer needs into technical requirements.

Requirements

• Bachelor's degree (MS preferred) in Mathematics, Computer Science, or a highly quantitative STEM field.
• 5+ years experience in Data science and ML roles.
• Solid foundation in statistics, machine learning, and causal inference with experience applying these methods to business problems. Examples: regression, time series analysis, A/B testing, Bayesian modeling, signal processing.
• Proficiency in Python/R, SQL, and experience with data platforms and statistical modeling libraries.
• Experience with working in a small, fast-paced company, and desire to drive the implementation of projects start-to-finish.
• Strong growth mindset, desire to learn marketing measurement concepts.

Nice to have

• 2+ years of experience in marketing attribution, MMM, experimentation, or related measurement challenges.
• Experience developing and validating production models that drive real business decisions.
• Familiarity with MLOps practices and data pipeline orchestration tools.

Culture & Benefits

• Equity package.
• Comprehensive healthcare benefits (medical, dental, and vision).
• 401(k) plan.
• Flexible PTO policy, 12 company-paid holidays, and 12 weeks of paid parental leave.
• $500 work-from-home stipend to support your remote setup.