Senior Applied Scientist (AI/ML - Pricing)

PhD or Master’s degree in Computer Science, Machine Learning, Statistics, Operations Research, or a related field. 5+ years of industry experience in applied ML; 3+ years in production deployment of ML and deep learning models at scale. Strong knowledge of ML best practices (A/B testing, feature engineering, training/serving pipelines) and algorithms (gradient boosting, neural networks, optimization). Proficiency in Python (numpy, pandas, polars) and ML frameworks (Scikit-Learn, TensorFlow, Keras, PyTorch). Experience with large-scale datasets and big data tools (Apache Beam, Kafka, Spark). Familiarity with cloud platforms such as AWS, GCP, or Azure. Strong SQL and data engineering skills.

Research, develop, and implement machine learning and statistical models to solve pricing challenges. Analyze large, complex datasets to extract insights that guide pricing strategies. Apply state-of-the-art ML techniques and frameworks to create robust, scalable models. Develop clean, efficient, and maintainable code following industry best practices. Communicate technical concepts and results clearly to both technical and non-technical stakeholders. Collaborate with teams to deploy data-driven products and solutions in production. Mentor junior team members, supporting the growth of team expertise. Contribute to intellectual property, publications, and technical leadership in AI/ML.