Director, Data Science (AI/Machine Learning)

TL;DR

Director, Data Science (AI/Machine Learning): Leads the parallel execution of complex technical initiatives in marketing measurement and optimization, with an accent on developing and advancing core methodologies like Media Mix Modeling (MMM) and causal multi-touch attribution. Focus on guiding technical decisions, ensuring scientific rigor, and designing reusable, scalable, and rigorously validated scientific systems that power hirify.global’s product for eCommerce brands.

Location: Remote (USA)

Salary: $250,000 - $300,000 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

• Own and execute the technical roadmap for data science models and scalable, production-grade data products.
• Lead cross-functional initiatives end-to-end—from problem definition through launch—driving clear milestones and accountability.
• Act as a true peer partner to Engineering, Product and Design, aligning on technical strategy and architectural decisions.
• Lead teams responsible for developing, validating, and productionizing models, collaborating with Engineering for data sources, pipelines, and APIs.
• Hire, mentor, and develop top technical talent while fostering a high-performing and inclusive team culture.
• Deeply understand customer pain points and desired outcomes, translating them into clear technical requirements and data science solution designs.

Requirements

• 8+ years in data science or ML engineering roles, including 5+ years managing senior data scientists or technical leads.
• Master’s degree (or equivalent experience) in statistics, econometrics, machine learning, or a related quantitative field.
• Strong foundation in causal inference, time series analysis, Bayesian modeling, and experimental design.
• Experience designing and deploying ML systems at scale in collaboration with engineering teams.
• Proficiency in Python, R, and SQL; experience with modern data platforms (e.g., BigQuery, Snowflake), MLOps practices, and pipeline orchestration tools.
• Strong communication skills with demonstrated excellence in translating complex statistical concepts for non-technical stakeholders.

Nice to have

• Experience with identity graph, attribution modeling, or experiment design in marketing/advertising contexts.
• Prior work in MarTech/AdTech or B2B SaaS.
• PhD (or equivalent experience) in statistics, econometrics, machine learning, or a related quantitative field.
• Startup experience.

Culture & Benefits

• Competitive base salary range of $250,000 - $300,000 USD, plus an equity package.
• Comprehensive healthcare benefits (medical, dental, and vision), and a 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.
• Opportunity to make a meaningful impact at a fast-moving, high-growth, and profitable startup.

Hiring process

• Typically begins with a 30-minute interview with a hirify.global recruiter.
• Followed by a video interview with the hiring manager.
• Includes a role-specific video interview and subsequent video or onsite interviews with several team members.
• The final step is a video interview with our CEO/Co-founder.