Staff Data Scientist AI/ML

Key Responsibilities

• Architect and implement end‑to‑end machine learning solutions, including causal inference frameworks, to support strategic business objectives.
• Design, develop, and optimize large‑scale data pipelines on AWS, Azure, and BigQuery for high‑performance model training and inference.
• Collaborate with cross‑functional product and engineering teams to translate business problems into analytical approaches and actionable insights.
• Mentor senior data scientists and engineers, establishing best practices for model validation, reproducibility, and deployment.
• Lead experimentation, A/B testing, and statistical analysis to evaluate model impact and guide product roadmap.

Requirements

• 5+ years of experience building production‑grade machine learning models, with a focus on causal inference techniques.
• Strong proficiency in Python and its data science ecosystem (pandas, scikit‑learn, PyTorch/TensorFlow).
• Deep hands‑on experience with cloud platforms—AWS, Azure, and BigQuery—including data warehousing, compute, and ML services.
• Proven ability to design scalable data pipelines and manage large, complex datasets.
• Excellent communication skills and a track record of influencing product strategy through data‑driven insights.