{"id":2922292,"url":"https://alion.io/job/microsoft-principal-applied-scientist-shopping","title":"Principal Applied Scientist (Shopping)","company":{"id":18,"name":"Microsoft","domain":"microsoft.com","url":"https://alion.io/company/microsoft","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Eightfold","truth_index":{"grade":"B","score":81,"open_postings":298,"ghost_share":0,"stale_share":0.762,"repost_share":0,"time_to_fill_p50_days":29,"computed_at":"2026-10-25T05:49:26Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Cairo, Egypt"],"countries":["EG"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":95000,"max_usd":234000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1199},"experience_years_min":9,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"AI Agents","optional":false},{"name":"Context Engineering","optional":false},{"name":"Fine-tuning","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"Python","optional":false},{"name":"Recommender Systems","optional":false},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"Keras","optional":true},{"name":"Power BI","optional":true},{"name":"PyTorch","optional":true},{"name":"Spark","optional":true},{"name":"SQL","optional":true},{"name":"Tableau","optional":true},{"name":"TensorFlow","optional":true}],"status":"live","first_seen_at":"2026-09-29T14:02:18Z","employer_posted_date":"2026-10-08","last_verified_at":"2026-10-26T01:45:50Z","board_verified":true,"closed_at":null,"days_open":26,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":26},"description":"OverviewMicrosoft Shopping is building the next generation of intelligent web analytics and user understanding experiences. Our team leverages large-scale behavioral data, machine learning, deep learning, and large language models to help users find the product they are looking for at the best deal.\nAs a Principal Applied Scientist, you will work on some of the most challenging and impactful problems in the web intelligence space, including conversion understanding, user profiling, shopping and commerce intelligence, and AI-powered customer journey insights. You will partner closely with engineers, product managers, and data scientists to transform massive datasets into intelligent products that serve millions of users and businesses worldwide.\nThis role is ideal for candidates who enjoy solving ambiguous problems, working with petabyte-scale data, applying modern AI techniques, and driving innovations from research concepts to production deployment.\nMicrosoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.\nResponsibilities\nDiscover and apply insights from massive data sets of structured, semi-structured, and unstructured data.\nIdentify opportunities to leverage available data to resolve customer pain points.\nOwn data science projects end to end starting from problem definition, data exploration/preparation, model building, and model evaluation.\nDevelop and deploy machine learning, deep learning, and LLM-based solutions for conversion understanding, user profiling, identity linking, and commerce intelligence scenarios.\nPrototype and rapidly evaluate creative ideas to gain insights into their strengths and weaknesses.\nPartner with engineering and product teams to translate scientific innovations into scalable production systems.\nStorytelling and visualization capabilities to deliver the right message to the concerned audience.\nDesign metrics that serve as the North Stars for team efforts and A/B testing framework to support data-driven decisions.\nDrive experimentation and data-driven decision making through rigorous offline and online evaluation methodologies.\nStay current with emerging trends in AI, machine learning, NLP, recommender systems, and user behavior modeling.\nQualifications\nRequired Qualifications:\nBachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.\nDemonstrated understanding of machine learning and deep learning algorithms. \nDemonstrated foundation and hands on experience with AI, agents, including context engineering, fine tuning, RAGs, agentic engineering \nData-centric & Analytical Mindset. \nProblem-solving skills. \nAbility to learn quickly, work independently in complex situations, and deal with ambiguity. \nFluency with scripting/programming language: Python \nPreferred Qualifications:\nMaster's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 9+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.\nExperience with large data modeling, handling specially for customer facing applications.\nUnderstanding of big data tools: Spark\nUnderstanding of cloud platforms: Azure, AWS, or Google. \nUnderstanding of data analytics/visualization tools such as PowerBi, Tableau \nUnderstanding of database systems: SQL and NoSQL. \nUnderstanding of ML frameworks: TensorFlow, Keras, PyTorch, or Caffe \nThis position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.\nMicrosoft is an 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. 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