Forward-Deployed Data Scientist II (AI)

TL;DR

Forward-Deployed Data Scientist II (AI): Design and build end-to-end machine learning solutions that power 1-to-1 personalization for some of the world's leading brands with an accent on scoping solutions that optimize for real business value. Focus on extending product capabilities by developing features and tools that support the broader AI deployment team and scale what's possible across engagements.

Location: Sydney

Company

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

What you will do

• Design RL use cases from the ground up, scoping solutions that optimize for real business value.
• Build and own the full ML pipeline, taking customers' raw data through transformation, model training, and activation.
• Drive customer success by providing ongoing technical guidance that ensures data science performance, successful adoption, and measurable outcomes.
• Extend product capabilities by developing features and tools that support the broader AI deployment team and scale what's possible across engagements.
• Partner with the hirify.global Product team to refine and advance hirify.global's reinforcement learning algorithms.
• Shape hirify.globalAI product strategy and roadmap by bringing customer-facing insights and deep technical expertise to the table.

Requirements

• Education: Bachelor’s degree in Computer Science, Data Science, Mathematics, Engineering, or a related field required; Master’s or PhD in a relevant technical discipline preferred.
• Experience: 3–5+ years of hands-on experience as a Data Scientist, Machine Learning Engineer, or similar role working with large-scale data and production environments. Experience in customer-facing or consulting roles is strongly preferred.
• Strong technical expertise: 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.
• Engineering best practices: You write well-structured, modular, documented code; follow strong development practices (Git, CI/CD, testing frameworks, type-hinting, code reviews); and can build scalable, maintainable solutions.
• Customer collaborator: Comfortable working directly with clients and cross-functional teams, aligning stakeholders, and translating technical concepts into clear business value.
• Entrepreneurial problem-solver: You identify opportunities and risks early, troubleshoot obstacles, and drive creative solutions.

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.
• Retirement and Employee Stock Purchase Plans.
• 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®.