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naukri

Data Scientist II - AI

talabat
, UAE
Senior
4 weeks ago
Data AnalysisMachine LearningGenerative AIA/B TestingData ModelingSQL
Free

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Data AnalysisMachine LearningGenerative AI
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Role Overview

  • As a Sr. AI Scientist on the global AI hub, your mission will be to improve the quality of decisions made across product and business via relevant, reliable, and actionable data.
  • You will own a particular domain across product and business and work closely with product and business managers as part of a talented team of data scientists and data engineers.
  • You will own the entire data value chain, including logging, data modeling, analysis, reporting, and experimentation.
  • Many initiatives will focus on leveraging Generative AI for tasks such as data enrichment, smart content understanding, and automated decision making.

Responsibilities

  • Leveraging ambiguous business problems as opportunities to drive objective criteria using data.
  • Solving complex business problems using the simplest, most appropriate algorithms to deliver business value.
  • Designing and implementing effective and impactful machine learning and generative AI systems in production.
  • Developing a deep understanding of the product experiences and business processes that make up your area of focus.
  • Developing a deep familiarity with the source data and its generating systems through documentation, interacting with the engineering teams, and systematic data profiling.
  • Contributing heavily to the design and maintenance of the data models that allow us to measure performance and comprehend performance drivers for your area of focus.
  • Working closely with product and business teams to identify important questions that can be answered effectively with data.
  • Delivering well formed, relevant, reliable, and actionable insights and recommendations to support data driven decision making through deep analysis and automated reports.
  • Designing, planning, and analyzing experiments (A/B and multivariate tests).
  • Supporting product and business managers with KPI design and goal setting.
  • Mentoring other data scientists in their growth journeys.
  • Contributing to improving our ways of working, our tooling, and our internal training programs.

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