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Principal Applied Scientist (Shopping)

Microsoft· Applied Sciences
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Cairo, Egyptfull-timePosted 2w ago

About the role

Microsoft Shopping uses large-scale data and AI to improve web analytics and user understanding. The Principal Applied Scientist will tackle challenging web intelligence problems (e.g., conversion understanding, user profiling, shopping and commerce intelligence, AI-powered customer journey insights) and translate research concepts into production systems.

Responsibilities

  • Discover and apply insights from massive data sets of structured, semi-structured, and unstructured data.
  • Identify opportunities to leverage available data to resolve customer pain points.
  • Own data science projects end to end starting from problem definition, data exploration/preparation, model building, and model evaluation.
  • Develop and deploy machine learning, deep learning, and LLM-based solutions for conversion understanding, user profiling, identity linking, and commerce intelligence scenarios.
  • Prototype and rapidly evaluate creative ideas to gain insights into their strengths and weaknesses.
  • Partner with engineering and product teams to translate scientific innovations into scalable production systems.
  • Storytelling and visualization capabilities to deliver the right message to the concerned audience.
  • Design metrics that serve as the North Stars for team efforts and A/B testing framework to support data-driven decisions.
  • Drive experimentation and data-driven decision making through rigorous offline and online evaluation methodologies.
  • Stay current with emerging trends in AI, machine learning, NLP, recommender systems, and user behavior modeling.

Qualifications

  • Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience OR equivalent experience.
  • Demonstrated understanding of machine learning and deep learning algorithms.
  • Demonstrated foundation and hands on experience with AI, agents, including context engineering, fine tuning, RAGs, agentic engineering
  • Data-centric & Analytical Mindset.
  • Problem-solving skills.
  • Ability to learn quickly, work independently in complex situations, and deal with ambiguity.
  • Fluency with scripting/programming language: Python

Skills

Required:PythonMachine learningDeep learningAI, agents, context engineering, fine tuning, RAGs

Benefits

  • Microsoft equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances.
Last updated Oct 9, 2026. Interested? Apply on the company site.

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