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Senior Data Scientist

7-10 Years
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Job Description

  • 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.

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Open to candidates from:
Indian

About Company

Dynamic Yield by Mastercard enables teams to build personalized, optimized, and synchronized digital customer experiences, enhancing revenue and customer loyalty.

Job ID: 118894585

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