<?xml version="1.0" encoding="UTF-8"?>
<source>
  <jobs>
    <job>
      <externalid>0e124f59-bba</externalid>
      <Title>Snr Applied Scientist</Title>
      <Description><![CDATA[<p><strong>Summary</strong></p>
<p>Microsoft are looking for a talented Snr Applied Scientist at their Cairo office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that&#39;s revolutionising online shopping technology. You&#39;ll work directly with leadership to shape the company&#39;s direction in the global e-commerce market.</p>
<p><strong>About the Role</strong></p>
<p>As a Snr Applied Scientist in AI, and NLP, you will build top-notch models to solve a multitude of tasks core to building and enriching Microsoft Product Catalog. This opportunity will allow you to accelerate your career growth, develop deep problem-solving skills, collaborate with different team through active engagement with teams from different cultures.</p>
<p><strong>Accountabilities</strong></p>
<ul>
<li>Master one or more subareas and gain expertise in a broad area of research, including applicable research techniques.</li>
<li>Gain deep knowledge of a service, platform, or domain, and identify product needs by sharing the latest industry trends and applied technologies.</li>
</ul>
<p><strong>The Candidate we&#39;re looking for</strong></p>
<p><strong>Experience:</strong></p>
<ul>
<li>Bachelor’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 Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.</li>
</ul>
<p><strong>Technical skills:</strong></p>
<ul>
<li>Master’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 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.</li>
</ul>
<p><strong>Personal attributes:</strong></p>
<ul>
<li>3+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers).</li>
<li>Experience presenting at conferences or other events in the outside research/industry community as an invited speaker.</li>
</ul>
<p><strong>Benefits</strong></p>
<ul>
<li>Work arrangements (remote, hybrid, office-based).</li>
<li>Health and wellbeing benefits.</li>
<li>Professional development opportunities.</li>
<li>Financial benefits (bonus, equity, pension, etc.).</li>
<li>Cultural perks (team events, office amenities, etc.).</li>
</ul>
<p style="margin-top:24px;font-size:13px;color:#666;">XML job scraping automation by <a href="https://yubhub.co">YubHub</a></p>]]></Description>
      <Jobtype>full-time</Jobtype>
      <Experiencelevel>senior</Experiencelevel>
      <Workarrangement>onsite</Workarrangement>
      <Salaryrange></Salaryrange>
      <Skills>Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, Research, Machine Learning, Data Science, Artificial Intelligence</Skills>
      <Category>Engineering</Category>
      <Industry>Technology</Industry>
      <Employername>Microsoft</Employername>
      <Employerlogo>https://logos.yubhub.co/microsoft.ai.png</Employerlogo>
      <Employerdescription>Microsoft&apos;s Online Shopping team is collaborative and interdisciplinary. You will work closely with a diverse team within Microsoft that brings together Applied Scientists, software engineers, Data engineers and Product Managers.</Employerdescription>
      <Employerwebsite>https://microsoft.ai</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://microsoft.ai/job/snr-applied-scientist/</Applyto>
      <Location>Cairo</Location>
      <Country></Country>
      <Postedate>2026-03-06</Postedate>
    </job>
    <job>
      <externalid>5f8cde4b-a22</externalid>
      <Title>Snr Applied Scientist</Title>
      <Description><![CDATA[<p><strong>Summary</strong></p>
<p>Microsoft are looking for a talented Snr Applied Scientist at their Multiple Locations, Egypt office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that&#39;s revolutionising online shopping technology. You&#39;ll work directly with leadership to shape the company&#39;s direction in the online shopping market.</p>
<p><strong>About the Role</strong></p>
<p>As a Snr Applied Scientist in AI, and NLP, you will build top-notch models to solve a multitude of tasks core to building and enriching Microsoft Product Catalog. This opportunity will allow you to accelerate your career growth, develop deep problem-solving skills, collaborate with different team through active engagement with teams from different cultures.</p>
<p><strong>Accountabilities</strong></p>
<ul>
<li>Master one or more subareas and gain expertise in a broad area of research, including applicable research techniques.</li>
<li>Gain deep knowledge of a service, platform, or domain, and identify product needs by sharing the latest industry trends and applied technologies.</li>
</ul>
<p><strong>The Candidate we&#39;re looking for</strong></p>
<p><strong>Experience:</strong></p>
<ul>
<li>Bachelor’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 Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.</li>
</ul>
<p><strong>Technical skills:</strong></p>
<ul>
<li>Master’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 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.</li>
</ul>
<p><strong>Personal attributes:</strong></p>
<ul>
<li>3+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers).</li>
<li>Experience presenting at conferences or other events in the outside research/industry community as an invited speaker.</li>
<li>3+ years experience conducting research as part of a research program (in academic or industry settings).</li>
</ul>
<p><strong>Benefits</strong></p>
<ul>
<li>Work arrangements (remote, hybrid, office-based).</li>
<li>Health and wellbeing benefits.</li>
<li>Professional development opportunities.</li>
<li>Financial benefits (bonus, equity, pension, etc.).</li>
<li>Cultural perks (team events, office amenities, etc.).</li>
</ul>
<p style="margin-top:24px;font-size:13px;color:#666;">XML job scraping automation by <a href="https://yubhub.co">YubHub</a></p>]]></Description>
      <Jobtype>full-time</Jobtype>
      <Experiencelevel>senior</Experiencelevel>
      <Workarrangement>hybrid</Workarrangement>
      <Salaryrange></Salaryrange>
      <Skills>Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, Research, Statistics, Econometrics, Computer Science, Electrical or Computer Engineering</Skills>
      <Category>Engineering</Category>
      <Industry>Technology</Industry>
      <Employername>Microsoft</Employername>
      <Employerlogo>https://logos.yubhub.co/microsoft.ai.png</Employerlogo>
      <Employerdescription>Microsoft&apos;s Online Shopping team is collaborative and interdisciplinary. They bring together Applied Scientists, software engineers, Data engineers and Product Managers to build novel solutions to global online Shopping.</Employerdescription>
      <Employerwebsite>https://microsoft.ai</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://microsoft.ai/job/snr-applied-scientist-2/</Applyto>
      <Location>Multiple Locations, Egypt</Location>
      <Country></Country>
      <Postedate>2026-03-06</Postedate>
    </job>
  </jobs>
</source>