Reporting to the Vice President of Analytics and Metrics and working with the TST Applied Data Science team, the Director will drive enterprise-level impact from Data Science solutions by leading a team of data scientists and engineers; managing delivery and scaling of existing Data Science models; and lead experimentation and innovation to develop new capabilities.
1/ Lead a team of data scientists and engineers
- Recruit, hire, and train distinctive Data Science and ML engineering talent
- Serve as a senior technical leader on the team, guiding individual contributors in their development of Data Science and ML engineering solutions
- Engage business and technical stakeholders across Mastercard to co-create solutions and collaboratively solve Data Science problems
- Continuously raise the bar on the capabilities and impact of our Data Science solutions
- Architect and lead the design and implementation of sophisticated data models and algorithms, steering complex Data Science initiatives from conception through to execution.
- Implement Agile practices to scale development of individual solutions across distributed cross-functional teams
- Lead the engineering team to deploy and manage critical models in production
- Develop and refine advanced analytical solutions, utilizing Mastercard's extensive global data assets and software platforms.
- Stay abreast of the latest advancements in Data Science, continually applying new techniques to enhance analytical capabilities.
- Manage long-term development of market-differentiating capabilities alongside day-to-day value delivery
- 7+ years of experience in Data Science with at least 2 as a people manager
- Strong experience in Python
- Extensive expertise in statistical modeling, machine learning algorithms, and predictive analytics.
- Highly structured and organized with the ability to plan work to maximize the team's productivity and effectiveness.
- Deep understanding of the AI development lifecycle
- Proficiency in big data technologies like Hadoop, Spark, or similar frameworks.
- Excellent skills in data visualization and interpretation.
- Demonstrated history of successfully delivering high-quality, data-driven solutions, including deploying production-level machine learning models and executing complex business intelligence projects.
- Excellent communication skills, capable of explaining complex data concepts in simple terms.
- Experience in working with cloud computing platforms like AWS, Azure, or Google Cloud.
- Proven track record of delivering data products in environments with strict adherence to security and model governance standards.
- Bachelor's degree in computer science, analytics, mathematics, statistics, economics, industrial engineering, or physical sciences. Master’s degree in one of these disciplines preferred.
- Abide by Mastercard’s security policies and practices;
- Ensure the confidentiality and integrity of the information being accessed;
- Report any suspected information security violation or breach, and
- Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.