Forward-Deployed Data Scientist II (AI)

TL;DR

Forward-Deployed Data Scientist II (AI): Partnering with customers to improve architecture and develop reusable data pipelines, APIs, and components with an accent on data integration, pipeline setup, and ML model configuration. Focus on refining reinforcement learning algorithms, contributing to product strategy through insights, and ensuring successful adoption and outcomes.

Location: Sydney

Company

hirify.global is the leading customer engagement platform that empowers brands to Be Absolutely Engaging.

What you will do

• Collaborate with customer Analytics/BI teams and hirify.global colleagues on implementations.
• Extend product capabilities by improving architecture and developing reusable data pipelines and APIs.
• Refine and advance reinforcement learning algorithms, working closely with the RL pipeline development team.
• Contribute to shaping hirify.globalAI product strategy and roadmap through customer-facing insights.
• Provide technical expertise to ensure successful adoption, measurable outcomes, and long-term customer success.

Requirements

• Bachelor’s degree in Computer Science, Data Science, Mathematics, Engineering, or a related field.
• 3–5+ years of hands-on experience as a Data Scientist, Machine Learning Engineer, or similar.
• Proficient in Python (Pandas) and core ML libraries (TensorFlow, Keras, scikit-learn, CatBoost, XGBoost).
• Skilled in SQL for querying/manipulating datasets, with experience in machine learning pipelines and model deployment.
• Follow strong development practices (Git, CI/CD, testing frameworks, type-hinting, code reviews).
• Comfortable working directly with clients and cross-functional teams.

Nice to have

• Experience with DevOps tools (Airflow, Kubernetes, Terraform, GCP), data integration/ETL, and pipeline optimization, or reinforcement learning algorithms.

Culture & Benefits

• Competitive compensation that may include equity.
• Flexible paid time off.
• Comprehensive benefit plans covering medical, dental, vision, life, and disability.
• Professional development supported by formal career pathing, learning platforms, and a yearly learning stipend.
• Collaborative, transparent, and fun culture recognized as a Great Place to Work®.