Senior Data Scientist - Advanced Analytics & AI

Role Overview: As a Senior Data Scientist at Mastercard, you will be a key member of the Advanced Analytics team, driving AI-based solutions and products on a global scale across various customer lifecycle stages. You will collaborate with different teams within the organization to deliver innovative products driven by analytics & AI, utilizing rich data resources, AI platform capabilities, and near real-time execution. Your role will be essential in developing new products and capabilities using analytics & AI, from conceptualization to market release and optimization under the guidance of the Vice President of Data Science & AI.

Key Responsibilities: - Drive the evolution of Advanced Analytics products with a focus on data science and engineering - Participate in exploring, applying, and developing data science for product development - Identify and evaluate AI/ML techniques and tools to deliver models and analytics for product development - Innovate and implement new data science approaches & technologies to solve business problems and generate insights & recommendations - Collaborate with cross-functional teams to prioritize data science problems in a customer-centric framework - Evaluate various analytics solutions considering performance, usability, feasibility, timelines, and stakeholder opinions - Break down solutions into smaller milestones to gather feedback and data from stakeholders - Evangelize product releases, gather feedback, and track usage for future development - Provide technical leadership to junior colleagues, offering mentorship and guidance

Qualifications Required: - 6-9 years of experience in Data Science supporting Products - Experience in data science product development - Proficiency in Advanced Analytics, Machine Learning, Deep Learning, Advanced Statistics, etc. - Strong skills in Python, Spark, SQL, R, and ability to work across multiple languages - Hands-on experience with Hadoop big data tools or Databricks preferred - Strong problem-solving abilities applied to real business challenges - Excellent project management skills with a focus on meeting business deadlines - Motivated, flexible, and self-directed with a desire to lead project teams - Curiosity, creativity, and enthusiasm for technology and innovation - Ability to multitask with attention to detail and strong communication skills - Master's degree preferred in Quantitative disciplines like Physical Sciences, Mathematics, Statistics, Economics, Engineering, etc.

(Note: The additional details of the company were not present in the provided job description.) Role Overview: As a Senior Data Scientist at Mastercard, you will be a key member of the Advanced Analytics team, driving AI-based solutions and products on a global scale across various customer lifecycle stages. You will collaborate with different teams within the organization to deliver innovative products driven by analytics & AI, utilizing rich data resources, AI platform capabilities, and near real-time execution. Your role will be essential in developing new products and capabilities using analytics & AI, from conceptualization to market release and optimization under the guidance of the Vice President of Data Science & AI.

Key Responsibilities: - Drive the evolution of Advanced Analytics products with a focus on data science and engineering - Participate in exploring, applying, and developing data science for product development - Identify and evaluate AI/ML techniques and tools to deliver models and analytics for product development - Innovate and implement new data science approaches & technologies to solve business problems and generate insights & recommendations - Collaborate with cross-functional teams to prioritize data science problems in a customer-centric framework - Evaluate various analytics solutions considering performance, usability, feasibility, timelines, and stakeholder opinions - Break down solutions into smaller milestones to gather feedback and data from stakeholders - Evangelize product releases, gather feedback, and track usage for future development - Provide technical leadership to junior colleagues, offering mentorship and guidance

Qualifications Required: - 6-9 years of experience in Data Science supporting Products - Experience in data science product development - Proficiency in Advanced Analytics, Machine Learning, Deep Learning, Advanced Statistics, etc. - Strong skills in Python, Spark, SQL, R, and ability to work across multiple languages - Hands-on experience with Hadoop big data tools or Databricks preferred - Strong problem-solving abilities applied to real business challenges - Excellent project management skills with a focus on meeting business deadlines - Motivated, flexible, and self-directed with a desire to lead project teams - Curiosity, creativity, and enthusiasm for technology and innovation - Ability to multitask with attention to detail and strong communication skills - Master's degree preferred in Quantita