Principal Data Scientist (AI/ML)

Location: US - Remote

Company

hirify.global is an education technology company that helps regional universities launch and grow online programs for modern learners.

What you will do

• Lead data science and AI/ML initiatives from problem definition through implementation, deployment, and impact measurement.
• Build predictive models for enrollment propensity, retention, churn risk, engagement, personalization, student success, and next best action.
• Design A/B tests and apply causal inference and uplift modeling to measure the impact of interventions.
• Develop production-ready solutions with Python, SQL, Databricks, MLflow, and related technologies.
• Define model monitoring, validation, documentation, reproducibility, explainability, and responsible-use practices.
• Provide technical direction, mentor data scientists, and collaborate with Product, Engineering, Data Engineering, Customer Experience, Partnership, and university teams.

Requirements

• 8+ years of experience in applied data science, machine learning, or a related field, including technical leadership on complex projects.
• Strong experience with predictive modeling, machine learning, statistics, feature engineering, model evaluation, and A/B testing.
• Experience with causal inference, uplift modeling, incrementality measurement, production ML, and post-launch model monitoring.
• Strong Python and SQL skills, plus experience with scikit-learn, XGBoost, TensorFlow, PyTorch, Databricks, MLflow, or comparable technologies.
• Experience working with large, complex datasets and Engineering or Data Engineering teams to productionize ML solutions.
• Bachelor’s or Master’s degree in a quantitative discipline, or equivalent relevant experience.

Nice to have

• PhD in a quantitative or technical discipline.
• Experience in higher education, edtech, consumer technology, personalization, or complex behavioral domains.
• Experience with recommendation systems, speech analytics, NLP, conversational data, CRM, LMS, or marketing platforms.
• Familiarity with responsible AI practices, including transparency, fairness, and bias evaluation.
• Experience with AI-assisted data science and software development tools.

Culture & Benefits

• Full-time role with a remote work arrangement in the US.
• Work spans Product, Engineering, Customer Experience, Partnership, and university partner teams.
• Focus on measurable improvements in student and business outcomes.
• Commitment to a diverse and inclusive workforce.