Drive the evolution of Advanced Analytics products with an impact focused on data science and engineering
Participate in the exploration, application and development of data science for product development
Participate in identification and evaluation of AI/ML techniques and tools to deliver models and analytics for product development
Continuously innovate and determine new data science approaches technologies to solve business problems and generate business insights recommendations
Partner with roles across the organization including product, engineering, and sales to determine the highest priority data science problems to solve in a customer-centric framework
Evaluate trade-offs between many possible analytics solutions to a problem, taking into account performance, usability, technical feasibility, timelines, and differing stakeholder opinions to make a decision
Break large solutions into smaller, releasable milestones to collect data and feedback from product managers, clients and other stakeholders
Evangelize releases to users, incorporating feedback, and tracking usage to inform future development
Work with small, cross-functional teams to define vision, establish team culture and processes
Consistently focus on key drivers of organization value and prioritize operational activities accordingly
Identify and act upon product improvement opportunities
Provide technical leadership of junior colleagues as a senior member of the data science team, through technical and non-technical mentoring
This role requires the successful candidate to have the following:
Prior experience in working in a data science product development role
Strong hands-on experience in Advanced Analytics, Machine Learning, Deep Learning, Advanced Statistics etc.
High proficiency in Python, Spark, SQL, R and be able to navigate across multiple languages
Preferably with hands-on experience with Hadoop big data tools (Hive, Impala, Spark) or Databricks
Demonstrated quantitative and problem-solving abilities including application to real business problems
Strong project management skills and ability to meet business deadlines and execution
Motivated, flexible, self-directed, and desire to lead small project teams as applicable
Curiosity, creativity, and excitement for technology and innovation and outside-in perspectives
Ability to multi-task and strong attention to detail including data utilized, methodology, results and validation
Outstanding communication and organizational skills
Masters preferred in Quantitative discipline like Physical Sciences, Mathematics, Statistics, Economics, Engineering etc.
7-10 years of experience in Data Science function supporting Products.
Dynamic Yield by Mastercard enables teams to build personalized, optimized, and synchronized digital customer experiences, enhancing revenue and customer loyalty.