Senior Data Scientist, Level 5 (AI)

Location: Onsite in Bellevue, Los Angeles, New York, Palo Alto, San Francisco, or Seattle; expected to work in an office 4+ days per week.

Company

hirify.global is a technology company operating hirify.globalchat and other digital services, focused on visual communication, computing, and data-driven product development.

What you will do

• Apply quantitative analysis, data mining, statistical modeling, and machine learning to generate actionable product and business insights.
• Design, implement, and track core product metrics to evaluate performance and identify trends and opportunities.
• Build pragmatic, scalable, and statistically rigorous solutions for predictions and product optimization.
• Create visualizations, dashboards, and reports that communicate complex quantitative findings clearly.
• Collaborate with product managers, engineers, product marketers, and designers to support product decisions.
• Use AI tools to develop scalable data solutions while maintaining accuracy and statistical integrity.

Requirements

• Bachelor’s degree in statistics, mathematics, economics, computer science, engineering, or a related technical field, or equivalent practical experience.
• At least 5 years of post-bachelor’s quantitative analysis and data science experience, or equivalent experience with a master’s or PhD.
• At least 5 years of experience with SQL or similar big-data querying languages.
• At least 5 years of experience with Python, R, or a similar programming language.
• At least 5 years of experience with applied statistical techniques, including inferential methods, causal methods, A/B testing, or statistical modeling.
• Ability to communicate quantitative analysis clearly and work independently across functions.

Nice to have

• Advanced degree in applied mathematics, statistics, actuarial science, economics, or a related field.
• Experience in a product-focused role at a social media, online advertising, digital media, or mobile technology company.
• Experience using machine learning and statistical analysis to build data-driven product solutions or conduct methodological research.

Culture & Benefits

• Default-together approach with frequent in-person collaboration.
• Paid parental leave and comprehensive medical coverage.
• Emotional and mental health support programs.
• Compensation packages designed to support long-term company success.
• Equal-opportunity workplace with accommodation support for applicants with disabilities or special needs.