Senior Director - Data Science & Analytics (AI)

TL;DR

Senior Director - Data Science & Analytics (AI): Leading the data science, experimentation, and analytics disciplines to transform customer understanding, measure product impact, and drive growth for an AI-powered platform with an accent on predictive/prescriptive model development, experimentation frameworks, and data-driven growth strategies. Focus on building high-performing data teams, integrating machine learning into the platform, and leveraging modern data stacks for advanced analytics and causal inference.

Location: Remote (US)

Company

hirify.global is an AI-powered, all-in-one white-label sales & marketing platform empowering agencies, entrepreneurs, and businesses globally.

What you will do

• Own end-to-end data science and product analytics strategy, focusing on modeling, experimentation, and insight generation.
• Build and lead a global team spanning data science, applied ML, decision science, and product analytics.
• Oversee product analytics, defining how user behavior, engagement, and retention are measured.
• Build and scale experimentation and A/B testing frameworks across 50+ product and marketing teams.
• Design, train, and productionize predictive and prescriptive models to optimize retention, churn, pricing, and campaign automation.
• Partner with GTM, Finance, and Operations to quantify the impact of models, experiments, and analytics on revenue, efficiency, and customer lifetime value.

Requirements

• 12+ years in data science, analytics, or ML roles, including 5+ years in senior leadership within SaaS or B2B2C companies.
• Proven track record establishing and growing data science and product analytics teams.
• Expertise in Python, SQL, R, machine learning frameworks (TensorFlow, PyTorch), with strong applied experience in experimentation and causal inference.
• Deep understanding of A/B testing, causal inference, and experimental design at scale.
• Experience operationalizing models with shared feature stores, model registries, and automated retraining pipelines.
• Strong understanding of experimentation, attribution modeling, and business intelligence systems.

Nice to have

• Experience supporting IPO readiness or large-scale data governance.

Culture & Benefits

• Global, remote-first environment with over 1,500 team members across 15+ countries.
• Cultivates a culture where innovation thrives, ideas are celebrated, and people come first.
• Empowering over 2 million businesses with sales & marketing tools.

Hiring process

• Artificial intelligence (AI) tools may be used to support parts of the hiring process (reviewing applications, analyzing resumes, assessing responses).
• Final hiring decisions are ultimately made by humans.