Principal Data Scientist
Confirmed on the employer's own hiring board on Oct 11, 2026. First seen by Alion on Aug 2, 2026. Mastercard scores B on the Alion truth index.
Join Mastercard as a Principal Data Scientist, where you will lead the development and delivery of advanced AI and machine learning solutions for the Ethoca product. This senior technical role involves defining the data science product design, guiding execution across multiple business initiatives, and ensuring solutions are delivered at scale. You will mentor a high-performing data science team, partner with product, engineering, and business leaders, and drive exploration of cutting-edge technologies. A strong track record in translating complex data problems into scalable business outcomes and experience in highly regulated industries is required.
Missions
- Lead the development and delivery of advanced AI and machine learning solutions for Mastercard’s Ethoca product, enhancing consumer purchase experiences.
- Design and execute the data science vision and roadmap for product enhancement, aligning technical initiatives with business priorities and product strategy.
- Lead, mentor, and inspire a high-performing data science team, fostering a culture of technical excellence, innovation, and collaboration.
Profil recherché
- The successful candidate will combine technical depth with strong cross-functional skills to drive measurable business impact- Strong track record of translating complex data problems into scalable, measurable business outcomes
- Experience working in highly regulated industries, with an emphasis on data governance and compliance
- Deep expertise in supervised, unsupervised, and generative AI methods, with strong understanding of their mathematical foundations
- Master’s degree required; PhD preferred
- Hands-on background in NLP, information extraction, or computer vision or multi-modal AI applied to real-world business challenges
- Proven experience leading data science teams and delivering enterprise-scale AI/ML solutions
- Skilled at engaging with senior stakeholders, presenting technical results to diverse audiences, and driving alignment across functions
- Proficiency in Python, ML frameworks (Scikit-learn, PyTorch, TensorFlow), SQL, Spark, and Azure ML/Snowflake
- Experience in payments, FinTech, or consumer transaction data
- Prior patents or publications in AI/ML
- Demonstrated success applying GenAI or multi-agent systems in production environments