Senior Data Scientist (AI)

TL;DR

Senior Data Scientist (AI): Driving marketing and growth data science domain with an accent on setting technical direction, pushing the organization toward higher-leverage problems, and shaping how marketing, growth, and operations use data science. Focus on translating business challenges into measurable ML and statistical impact.

Location: Tel-Aviv, IL

Company

hirify.global.com is an AI work platform that empowers teams to automate, build, and scale their impact end-to-end with tools that actually execute the work for you.

What you will do

• Own a portfolio of production ML models that drive marketing and growth decisions across the funnel.
• Lead experimentation infrastructure, including geo-experiments and AB testing.
• Guide marketing and growth analyst teams, elevate their work, and grow the analytical capability of the organization.
• Train and enable business and operational teams on the models and frameworks you build.
• Drive marketing and growth into the agentic era by identifying where LLM-based and agentic workflows can replace, augment, or accelerate existing processes.
• Proactively surface the highest-leverage opportunities, challenge assumptions, and set ambitious targets for what data science should deliver.

Requirements

• 6+ years of hands-on Data Science and Machine Learning experience, with a track record of production models that drove measurable business impact.
• MSc or higher in a quantitative field such as Data Science, Computer Science, Statistics, Physics, Mathematics, or similar.
• Demonstrated technical leadership in setting direction on ambiguous problems and mentoring strong ICs.
• Strong foundations in machine learning and statistics, with proven ability to ship production-grade models.
• Proficient in Python and SQL, comfortable across the modern ML and data stack.
• Excellent communicator across audiences, able to explain a model to an operations team, defend a design choice to engineers, and frame business impact for executives.

Nice to have

• Experience with causal inference, geo experiments, incrementality testing, or marketing mix modeling.
• Experience applying data science to marketing, growth, or monetization use cases.
• Hands-on work with LLMs or agentic frameworks in production.