Microsoft Clarity is seeking a Senior Applied Scientist to work on web intelligence challenges including conversion understanding, user profiling, identity resolution, commerce intelligence, and AI-powered customer journey insights. The role involves working with large-scale data, machine learning, deep learning, and large language models to build intelligent products. Responsibilities include data exploration, model building and evaluation, prototyping, partnering with engineering and product teams, storytelling through visualization, designing metrics and A/B testing frameworks, and driving data-driven decision making. Required qualifications include a relevant degree with related experience, at least 7 years as an Applied Scientist, strong programming skills (Python, C#, Java, Scala), and hands-on experience with LLMs, ML, and DL. Preferred qualifications include experience with big data platforms, NLP, recommendation systems, data analytics, and strong communication skills. The position is full-time and on-site in Cairo, Egypt.
What you'll do
Discover and apply insights from massive data sets of structured, semi-structured, and unstructured data
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Requirements
Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience
OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience
OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience
OR equivalent experience
At least 7 years industry experience as an Applied Scientist
Data-centric and analytical mindset with a solid focus on experimentation and measurable impact
Good problem-solving skills and good understanding of algorithms and data structures
Fluency with at least one programming language such as Python, C#, Java, or Scala
Hands-on experience in large language models (LLMs), pretrained language models (PLMs), machine learning (ML), and deep learning (DL)
Preferred: Ability to learn quickly, work independently in complex situations, and deal with ambiguity
Preferred: Experience with big data platforms and distributed processing technologies
Preferred: Hands-on experience in NLP, information retrieval, ranking, or recommendation systems
Preferred: Understanding of data analytics and visualization tools
Preferred: Experience working with customer behavior data, user journeys, digital analytics, or advertising systems
Preferred: Good communication and collaboration skills with the ability to influence cross-functional stakeholders
Tech stack
PythonC#JavaScalamachine learningdeep learninglarge language modelspretrained language modelsNLPinformation retrievalranking systemsrecommendation systemsbig data platformsdistributed processingdata analyticsdata visualization
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