Data Scientist (AI)

TL;DR

Data Scientist (AI): Building and applying advanced decisioning capabilities that power real-time personalization, experimentation, and growth optimization with an accent on predictive and decisioning models, causal inference, and reinforcement learning. Focus on embedding models into scalable, real-time systems and driving real-world customer outcomes.

Location: Hybrid in Philadelphia, PA (US-based applicants only)

Salary: $90,000 - $120,000 USD Annual base salary

Company

hirify.global is the leading Customer Growth Engine, helping brands unlock the full value of their customer data.

What you will do

• Design, build, and productionize predictive and decisioning models for product capabilities like next-best-action and real-time personalization.
• Apply and advance techniques in causal inference and contextual multi-armed bandits to optimize customer interactions.
• Partner with product and engineering teams to embed models into scalable, real-time systems.
• Work directly with customers on advanced use cases, developing and validating tailored models.
• Translate business goals into modeling strategies and communicate results to diverse stakeholders.
• Contribute to experimentation frameworks and closed-loop optimization approaches.

Requirements

• 5+ years of professional experience as a Data Scientist or Applied Scientist.
• Strong hands-on experience with causal inference techniques (uplift modeling, A/B testing).
• Practical experience with reinforcement learning and contextual multi-armed bandits in real-world systems.
• Solid foundation in machine learning (scikit-learn, XGBoost).
• Advanced Python skills, including software engineering best practices.
• Experience taking models from experimentation to production environments.

Nice to have

• Experience with ONNX format.
• Familiarity with cloud data platforms (Snowflake, Databricks).
• Experience with B2C, personalization, marketing, or customer analytics use cases.
• Experience with recommendation algorithms.

Culture & Benefits

• Work on cutting-edge applied ML problems at the intersection of AI, decisioning, and customer growth.
• Combine deep technical work with real-world customer impact.
• Help build a category-defining Customer Growth Engine.
• Competitive salary, generous paid leave (28 vacation days), and a MacBook.
• Comprehensive benefits package including medical, dental, vision, 401(k) matching, and paid parenting leave.
• International environment with strong opportunities for growth and ownership.