machine learning scientist

GoDaddy

<div><div><ul><li>R022476
</li></ul></div><div><ul><li>Gurugram, Haryana, India
</li></ul></div><div></div><div><ul><li>Engineering
</li></ul></div><div><ul><li>Regular</li></ul></div></div><div></div>
<br><div><p><b>Location Details:</b><b> </b>Gurugram (Hybrid)</p>
<p>
At GoDaddy the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.
</p><p><b>Hybrid:</b> This is a hybrid position. You&rsquo;ll divide your time between working remotely from your home and an office, so you should live within commuting distance. Hybrid teams may work in-office as much as a few times a week or as little as once a month or quarter, as decided by leadership. The hiring manager can share more about what hybrid work might look like for this team.</p>
<p><b>
Join our Team&hellip;</b></p>
<p>
If you are passionate about machine learning and want to make a difference for millions of small businesses, join our DnAI (Data and Artificial Intelligence) team at GoDaddy as a Senior Machine Learning Scientist. You will have the opportunity to build cutting-edge machine learning models and Generative AI solutions to build intelligent software that delight our customers. You will work with highly skilled engineers in building comprehensive solutions to challenging business problems in customer experience, personalization; as well as solve technical problems in model evaluation, simulation and more.</p>
<p><b>
What you'll get to do...</b></p>
<ul>
<li>Develop and implement advanced machine learning algorithms.</li>
<li>Build Intelligent Software using Large Language Models (AI Agents).</li>
<li>Design and refine ML models to enhance their performance, scalability, and robustness.</li>
<li>Assess, design and curate comprehensive evaluations for open-ended GenerativeAI problems.</li>
<li>Collaborate with cross-functional teams to integrate ML solutions within broader product and platform initiatives.</li>
<li>Drive the exploration and adoption of cutting-edge ML technologies to maintain our competitive edge in the industry.</li>
</ul>
<p><b>Your experience should include...</b></p>
<ul>
<li>6+ years of overall experience in machine learning related roles.</li>
<li>Strong knowledge of machine learning algorithms, tools, and techniques, such as supervised and unsupervised learning, deep learning, computer vision, natural language processing, etc.</li>
<li>Familiarity with AI assisted coding tools like Cursor, Claude Code or VS Code.</li>
<li>Proficient in Python programming language with familiarity with software engineering best practices, such as version control, code review, CI/CD, etc.</li>
<li>Proficiency with prompt engineering and large language models (LLM) and Natural Language Processing (NLP).</li>
</ul>
<p><b>You might also have...</b></p>
<ul>
<li>Experience building conversational systems.</li>
<li>Experience in designing comprehensive evaluations and verification methods.</li>
<li>Proficiency in Typescript is a plus.</li></ul><br>
<p></p>
<p><b>
We've got your back...</b><b> </b>We offer a range of total rewards that may include paid time off, retirement savings (e.g., 401k, pension schemes), bonus/incentive eligibility, equity grants, participation in our employee stock purchase plan, competitive health benefits, and other family-friendly benefits including parental leave. GoDaddy&rsquo;s benefits vary based on individual role and location and can be reviewed in more detail during the interview process.</p>
<p>
We also embrace our diverse culture and offer a range of Employee Resource Groups (Culture). Have a side hustle? No problem. We love entrepreneurs! Most importantly, come as you are and make your own way.</p>
<p><b>
About us... </b>GoDaddy is empowering everyday entrepreneurs around the world by providing the help and tools to succeed online, making opportunity more inclusive for all. GoDaddy is the place people come to name their idea, build a professional website, attract customers, sell their products and services, and manage their work. Our mission is to give our customers the tools, insights, and people to transform their ideas and personal initiative into success. To learn more about the company, visit About Us.</p>
<p>
At GoDaddy, we know diverse teams build better products&mdash;period. Our people and culture reflect and celebrate that sense of diversity and inclusion in ideas, experiences and perspectives. But we also know that&rsquo;s not enough to build true equity and belonging in our communities. That&rsquo;s why we prioritize integrating diversity, equity, inclusion and belonging principles into the core of how we work every day&mdash;focusing not only on our employee experience, but also our customer experience and operations. It&rsquo;s the best way to serve our mission of empowering entrepreneurs everywhere, and making opportunity more inclusive for all. To read more about these commitments, as well as our representation and pay equity data, check out our Diversity and Pay Parity annual report which can be found on our Diversity Careers page.</p>
<p><i>
GoDaddy is proud to be an equal opportunity employer</i><i>. </i><i>GoDaddy will consider for employment qualified applicants with criminal histories in a manner consistent with local and federal requirements.</i> <i>Refer to our full</i> <i>EEO policy.</i></p>
<p>
Our recruiting team is available to assist you in completing your application. If they could be helpful, please reach out to myrecruiter@godaddy.com.</p>
<p><b>
GoDaddy doesn&rsquo;t accept unsolicited resumes from recruiters or employment agencies.</b></p></div>

Senior Machine Learning Scientist

Expedia Group

<div><p>Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success.</p><p></p><p><b>
Why Join Us?</b></p><p>
To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win.</p><p></p><p>
We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We&rsquo;re building a more open world. Join us.</p><p></p><p><b>
Customer Experience Manager<br>
</b></p><p><br>
<b>Introduction to the Team</b></p><p>
Our Corporate Functions support the broader organization through strategic and operational excellence across domains such as Employee Communications, Finance, Legal, People Team, Inclusion and Diversity, and Global Social Impact and Sustainability.<br>
<br>
Customer service plays a crucial role in building trust, enhancing guest experiences, and ensuring smooth journeys. It involves assisting travelers with bookings, resolving issues promptly, providing accurate information. At Traveler &amp; Partner Service Platform, We are building contact center technologies for better customer and agent experiences.</p><p><br>
Omnichannel services are built on Amazon's Connect contact and routing technology, replacing legacy CCaaS capabilities for chat and voice within the TPSP (Traveler &amp; Partner Service Platform) group. We're deploying technology that brings AI experiences - for example, voice natural language to make self service a more delightful experience, and personalized routing (based on customer and context) to keep pace with EG's business evolution (i.e. optimizing for Brand needs).<br>
</p><p>Are you passionate about using machine learning to improve Customer Experience? Would you like to work in the fast-paced, competitive, customer-focused, and data-rich world of online travel?Our Machine Learning and Data Science team are growing! We are looking to hire researchers and data scientists interested in breaking new ground to tackle some of the most complex customer experience problems in the travel domain. The focus of your job will be on developing state-of-the-art machine learning algorithms to power and enhance the customer experience across highly complex post-booking recommendations, customer service use cases. You will tackle substantial technical challenges, from inference problems arising from long-tail traveler data to multi-objective optimization problems in the highly dynamic, operationally complex environment of customer service. Your passion for the craft of statistics, machine learning, and causal inference will unlock tangible growth for our business by exploiting these rich data sets and building effective solutions for travelers and our partners.</p><p></p><p>
This is your opportunity to build the core algorithms that help Expedia Group's Traveler &amp; Partner Service Platform organization bring context and intelligence to every step of the traveler journey and redefine what service excellence in travel can be. We are looking for a hands-on scientist who is passionate about applying machine learning to complex prediction and optimization problems that drive an ecosystem that anticipates traveler needs, personalizes dynamic add-ons and upsells, and improves service experiences, making travel more seamless for millions of customers and partners worldwide.<br>
</p><p><b>In this Role, You Will:</b></p><ul><li><p>
Design &amp; Implement ML Solutions: Take ownership of the end-to-end ML lifecycle for your projects, from ideation and research to deployment and monitoring.</p></li><li><p>
Test, Learn, and Iterate: Design and analyze tests to validate your models and quantify their business impact and design future iterations.</p></li><li><p>
Collaborate and Communicate: Partner closely with product managers, engineers, and business stakeholders to understand requirements, define problems, and communicate your findings and results effectively.</p></li></ul><p></p><p><b>
Experience and Qualifications:</b></p><ul><li><p>
PhD or MS in a quantitative field (Computer Science, Economics, Statistics, Physics) or equivalent related experience</p></li><li><p>
3+ years of hands-on industry experience building and deploying machine learning models to solve real-world problems.</p></li><li><p>
Expertise in applied ML: Deep, practical knowledge of machine learning theory (supervised/unsupervised learning, deep learning) and statistical modeling and a strong command of experimental design (A/B testing) and causal inference to accurately measure impact.</p></li><li><p>
Technical Fluency: Strong programming skills in Python and its data science ecosystem (e.g., pandas, scikit-learn, pySpark), plus proficiency in SQL. Follow software engineering best practices and contribute to the team's shared codebase.</p></li><li><p>
First-Principles Problem Solver: Skilled at dissecting ambiguous problems and clearly communicating complex technical ideas.</p></li><li><p>
Domain knowledge in customer service, recommendation systems, operational applications of ML, and/or e-commerce is highly desired</p></li><li><p>
Experience building and deploying models using GenAI/LLM technologies</p></li></ul><p></p><p><b>
Accommodation requests</b></p><p>
If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request.</p><p></p><p>
We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others.</p><p></p><p>
Expedia Group's family of brands includes: Brand Expedia&reg;, Hotels.com&reg;, Expedia&reg; Partner Solutions, Vrbo&reg;, trivago&reg;, Orbitz&reg;, Travelocity&reg;, Hotwire&reg;, Wotif&reg;, ebookers&reg;, CheapTickets&reg;, Expedia Group&trade; Media Solutions, Expedia Local Expert&reg;, CarRentals.com&trade;, and Expedia Cruises&trade;. &copy; 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: 2029030-50</p><p></p><p>
Employment opportunities and job offers at Expedia Group will always come from Expedia Group&rsquo;s Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you&rsquo;re confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official website to find and apply for job openings at Expedia Group is careers.expediagroup.com/jobs.</p><p></p>
Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.</div>

Machine Learning Scientist- III

Grainger

<p></p><div><p><b>Work Location Type: </b><b>Remote</b></p><p>
Req Number 324400</p><p><b><br>
About Grainger</b></p><p></p><p><br>
W.W. Grainger, Inc., is a leading broad line distributor with operations primarily in North America, Japan and the United Kingdom. At Grainger, We Keep the World Working&reg; by serving more than 4.5 million customers worldwide with products and solutions delivered through innovative technology and deep customer relationships. Known for its commitment to service and award-winning culture, the Company had 2024 revenue of $17.2 billion across its two business models. In the High-Touch Solutions segment, Grainger offers approximately 2 million maintenance, repair and operating (MRO) products and services, including technical support and inventory management. In the Endless Assortment segment, Zoro.com offers customers access to more than 14 million products, and MonotaRO.com offers more than 24 million products. For more information, visit www.grainger.com.</p><p></p><p><b><br>
Compensation</b></p><p>
The anticipated base pay compensation range for this position is $121,500.00 to $202,500.00.</p><p><br>
</p><p><b>Rewards and Benefits</b></p><p>
With benefits starting on day one, our programs provide choice and flexibility to meet team members' individual needs, including:</p><ul><li>
Medical, dental, vision, and life insurance plans with coverage starting on day one of employment and 6 free sessions each year with a licensed therapist to support your emotional wellbeing.</li><li>
18 paid time off (PTO) days annually for full-time employees (accrual prorated based on employment start date) and 6 company holidays per year.</li><li>
6% company contribution to a 401(k) Retirement Savings Plan each pay period, no employee contribution required.</li><li>
Employee discounts, tuition reimbursement, student loan refinancing and free access to financial counseling, education, and tools.</li><li>
Maternity support programs, nursing benefits, and up to 14 weeks paid leave for birth parents and up to 4 weeks paid leave for non-birth parents.</li></ul><p>
For additional information and details regarding Grainger&rsquo;s benefits, please click on the link below:</p><p></p><p><br>
https://experience100.ehr.com/grainger/Home/Tools-Resources/Key-Resources/New-Hire</p><p></p><p><br>
The pay range provided above is not a guarantee of compensation. The range reflects the potential base pay for this role at the time of this posting based on the job grade for this position. Individual base pay compensation will depend, in part, on factors such as geographic work location and relevant experience and skills.</p><p>
The anticipated compensation range described above is subject to change and the compensation ultimately paid may be higher or lower than the range described above.</p><p>
Grainger reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion at any time, consistent with applicable law.</p><p></p><p><b><br>
Position Details</b></p><p>
As a Senior Machine Learning Scientist, you will lead the design, development, and deployment of scalable ML solutions that directly influence strategic business decisions and product capabilities. You&rsquo;ll work end-to-end &mdash; from understanding complex business challenges and exploring data, to developing, deploying, and operationalizing advanced models that make a real-world impact. Our team is dedicated to leveraging data, advanced analytics, and machine learning to deliver tangible, long-term business value and measurable financial impact.</p><p></p><p><b><br>
You Will</b></p><ul><li>
Partner with business teams to understand problems, identify opportunities, and translate them into impactful ML solutions.</li><li>
Manipulate high-volume, high-dimensionality data from multiple sources, visualize patterns, anomalies, relationships, and trends, and perform feature engineering and selection</li><li>
Design, build, and deploy scalable ML models and pipelines from ideation to production, following best practices in MLOps and software engineering.</li><li>
Use advanced ML methods &mdash; including deep learning, NLP, LLMs, and time series forecasting &mdash; and selectively apply optimization approaches like linear programming or simulation to build scalable, data-driven solutions.</li><li>
Develop interactive analytical tools and applications (e.g., React, Streamlit) to visualize model outputs, simulate scenarios, and make insights actionable.</li><li>
Design and deploy scalable, automated ML workflows for data analysis, model development, validation, and deployment &mdash; integrating analytical products and APIs into business systems.</li><li>
Collaborate with business partners, engineering, MLOps/DevOps and Product teams to design and implement AI solutions that integrate predictive and prescriptive components</li></ul><ul><li>
Articulate concepts and generate visual representations of your work and the impact it creates &mdash; communicating analytical insights clearly to technical and non-technical audiences</li><li>
Stay current with advancements in machine learning, optimization, simulation, and decision science, applying relevant innovations to your work.</li></ul><p></p><p><b><br>
You Have</b></p><ul><li>
MS degree or PhD in a technical field such as Mathematics, Data Science, Applied Analytics, Operations Research, Computer Science, Applied Science or Engineering</li><li>
3+ years of experience delivering end-to-end ML solutions at scale &mdash; from data ingestion through model deployment and monitoring</li><li>
Advanced proficiency in Python and SQL for data manipulation and model development</li><li>
Hands-on experience with machine learning frameworks and deployment tools (e.g., scikit-learn, PyTorch, TensorFlow, MLflow, REST APIs)</li><li>
Familiarity with containerization, CI/CD, and version control (Kubernetes, Docker, Git)</li><li>
Experience building interactive, model-driven applications using React, Streamlit, or similar frameworks</li><li>
Experience with databases (Teradata, Snowflake, S3) and data processing at scale</li><li>
Proven ability to apply deep learning and transformer-based modeling methods in production environments</li><li>
Familiarity with<b> </b>modern ML architectures, including embedding models, multimodal systems, or generative AI (LLMs, diffusion models) where applicable.</li><li>
Strong analytical and problem-solving mindset; able to translate complex business challenges into structured, data-driven solutions</li><li>
Excellent communication skills, with the ability to convey technical concepts to both technical and business audiences</li></ul><p></p><p><i><br>
We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex (including pregnancy), national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, protected veteran status or any other protected characteristic under federal, state, or local law. We are proud to be an equal opportunity workplace.</i></p><p></p><p><i><br>
We are committed to fostering an inclusive, accessible work environment that includes both providing reasonable accommodations to individuals with disabilities during the application and hiring process as well as throughout the course of one&rsquo;s employment, should you need a reasonable accommodation during the application and selection process, including, but not limited to use of our website, any part of the application, interview or hiring process, please advise us so that we can provide appropriate assistance.</i></p><h1 class="jobSectionHeader"><b>
#LI-remote</b></h1><p>
#LI-LE1</p></div>

Senior Applied Machine Learning Scientist

Oak Ridge National Laboratory

<div><p>Requisition Id 14592</p><p></p><p><b><br>
Overview:
</b></p><p>As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an impressive 80-year legacy of addressing the nation&rsquo;s most pressing challenges. Our team is made up of over 7,000 dedicated and innovative individuals! Our goal is to create an environment where a variety of perspectives and backgrounds are valued, ensuring ORNL is known as a top choice for employment. These principles are essential for supporting our broader mission to drive scientific breakthroughs and translate them into solutions for energy, environmental, and security challenges facing the nation.</p><p><br>
We are seeking a full-time Senior Artificial Intelligence and Machine Learning Research Scientist who will support the Cyber Resilience and Intelligence Division (CRID) in the National Security Sciences Directorate at ORNL. CRID provides new methods, tools, and strategies to detect and mitigate adversarial attacks on critical infrastructure and protections and informs national agencies about the nature, extent, and severity of adversarial actions with the goal of improving the US cyber and physical security posture.</p><p><b><br>
Major Duties/Responsibilities:</b></p><p><b><br>
</b></p><ul><li>Provide technical insights for program and project developments.</li><li>
Lead teams to define and implement sponsor requirements.</li><li>
Interact with sponsors and funding agencies from project conception, proposal writing, and project execution.</li><li>
Mentor early career staff through both formal project, task, and technical leadership.</li><li>
Perform research &amp; development at levels ranging from proof-of-concept development to software / system architecture.</li><li>
All team members deliver ORNL&rsquo;s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace &ndash; in how we treat one another, work together, and measure success.</li></ul><p><br>
</p><p><b>Basic Qualifications:</b></p><ul><li>
A Ph.D. in computer science, electrical engineering, or a related field and six (6) years&rsquo; experience in government service or private industry. A combination of education and relevant experience may also be considered.</li><li>
Research experience in artificial intelligence, machine learning, and data science and analytics.</li></ul><p></p><p><b><br>
Preferred Qualifications:</b></p><ul><li>
Experience leading teams and performing research in artificial intelligence / machine learning, specifically for cybersecurity, signal processing, biometrics, digital forensics, and/or computer vision for national security applications.</li><li>
Proven track record managing and executing funding at both relatively low levels (&lt;1 full time equivalent) to larger efforts (10+ full time equivalence).</li><li>
Excellent written and oral communication skills.</li><li>
Motivated self-starter with the ability to work independently and to participate creatively in collaborative teams across the laboratory.</li><li>
Ability to function well in a fast-paced research environment, set priorities to accomplish multiple tasks within given timeframes and adapt to ever changing needs.</li></ul><p></p><p><b><br>
Special Requirements:
</b></p><p>Three (3) references are required.</p><p></p><p><br>
Please submit three letters of reference when applying to this position. You may upload these directly to your application or have them sent to ORNLRecruiting@ornl.gov (For postdocs, use Postdocrecruitment@ornl.gov) with the position title and number referenced in the subject line.</p><p></p><p><br>
Instructions to upload documents to your candidate profile:</p><ul><li>
Login to your account via jobs.ornl.gov</li><li>
View Profile</li><li>
Under the My Documents section, select Add a Document</li></ul><p></p><p><br>
Visa sponsorship is not available for this position.</p><p><b><br>
</b></p><p>This position requires the ability to obtain and maintain a Secret Compartmented Information (SCI) clearance from the Department of Energy. As such, this position is a Workplace Substance Abuse (WSAP) testing designated position. WSAP positions require passing a pre-placement drug test and participation in an ongoing random drug testing program. In addition, due the SCI, you may also be subject to random polygraph testing.</p><p><br>
</p><p><b>About ORNL</b></p><p>
ORNL offers competitive pay and benefits programs to attract and retain individuals who demonstrate exceptional work behaviors. The laboratory provides a range of employee benefits, including medical and retirement plans and flexible work hours, to support the well-being of you and your family. Employee amenities such as on-site fitness, banking, and cafeteria facilities are also available for added convenience.</p><p></p><p><br>
Other benefits include the following: Prescription Drug Plan, Dental Plan, Vision Plan, 401(k) Retirement Plan, Contributory Pension Plan, Life Insurance, Disability Benefits, Generous Vacation and Holidays, Parental Leave, Legal Insurance with Identity Theft Protection, Employee Assistance Plan, Flexible Spending Accounts, Health Savings Accounts, Wellness Programs, Educational Assistance, Relocation Assistance, and Employee Discounts.</p><p></p><p><br>
If you have difficulty using the online application system or need an accommodation to apply due to a disability, please email: ORNLRecruiting@ornl.gov.</p><p></p><p><br>
#LI-DC1</p><p></p><p><br>
This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.</p><p>
We accept Word (.doc, .docx), Adobe (unsecured .pdf), Rich Text Format (.rtf), and HTML (.htm, .html) up to 5MB in size. Resumes from third party vendors will not be accepted; these resumes will be deleted and the candidates submitted will not be considered for employment.</p><p><br>
If you have trouble applying for a position, please email ORNLRecruiting@ornl.gov.</p><p><br>
ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.</p></div>

Senior Artificial Intelligence and Machine Learning Research Scientist

MBC GROUP

<div>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Model Development &amp; Implementation: Design, build, and deploy machine learning models to solve complex business problems. These may include predictive analytics, recommendation systems, anomaly detection, classification, and other machine learning tasks.
  </li>
  <li>
   AI Solutions: Create and optimize AI-driven solutions that can automate processes, improve decision-making, and enhance user experiences across various business functions.
  </li>
  <li>
   Data Analysis &amp; Exploration: Conduct thorough analysis of large datasets to uncover patterns, trends, and insights that inform business strategies and model development.
  </li>
  <li>
   Collaborative Problem Solving: Partner with business stakeholders to understand their goals and challenges, and translate these into data-driven solutions and models that align with the organization&rsquo;s objectives.
  </li>
  <li>
   Model Optimization: Continuously monitor, fine-tune, and improve the performance of machine learning models through evaluation, experimentation, and iteration.
  </li>
  <li>
   Scalability &amp; Performance: Ensure that AI models and solutions can scale effectively in production environments, handling large volumes of data while maintaining high performance and reliability.
  </li>
  <li>
   Stay Current with AI Trends: Keep up-to-date with the latest advancements in AI, machine learning, and data science to propose innovative techniques and technologies that can drive competitive advantage.
  </li>
  <li>
   Reporting &amp; Communication: Present findings, model results, and actionable insights to both technical and non-technical stakeholders, ensuring clarity and alignment on business impacts.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.
  </li>
  <li>
   Proven experience (5+ years) as a Data Scientist, with a focus on machine learning, AI, and advanced analytics.
  </li>
  <li>
   Strong communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
  </li>
  <li>
   Strong proficiency in programming languages such as Python, R, or similar.
  </li>
  <li>
   Hands-on experience with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn, Keras) and tools for model development, training, and evaluation.
  </li>
  <li>
   Expertise in data manipulation and analysis using tools like Pandas, NumPy, SQL, or similar.
  </li>
  <li>
   Solid understanding of statistical methods, hypothesis testing, and data modeling techniques.
  </li>
  <li>
   Experience with cloud platforms (e.g., AWS, Azure, GCP) and deploying models in cloud environments is a plus.
   <br/>
   <br/>
  </li>
 </ul>
 Unfortunately, due to the high number of responses we receive we are unable to provide feedback to all applicants. If you have not been contacted within 5-7 days, please assume that at this stage your application has been unsuccessful.
</div>


Data Scientist

AI Research Scientist, 3D Machine Learning & Computer Vision

Microsoft

<div></div><div><h1 class="jobSectionHeader"><b>Senior Applied Scientist</b></h1><div><div><p>
Cairo, Egypt</p></div></div><p></p><div><div><div><div><br>
Date posted</div><div><b>
Sep 30, 2025</b></div></div></div><div><div><div>
Job number</div><div><b>
1884261</b></div></div></div><div><div><div>
Work site</div><div><b>
4 days / week in-office</b></div></div></div><div><div><div>
Travel</div><div><b>
0-25</b><b> </b><b>%</b></div></div></div><div><div><div>
Role type</div><div><b>
Individual Contributor</b></div></div></div><div><div><div>
Profession</div><div><b>
Research, Applied, &amp; Data Sciences</b></div></div></div><div><div><div>
Discipline</div><div><b>
Applied Sciences</b></div></div></div><div><div><div>
Employment type</div><div><b>
Full-Time</b></div></div></div></div><div></div><div><div><div><h3 class="jobSectionHeader"><b>
Overview</b></h3><div><div>
Join the Microsoft Shopping team! We deliver smart shopping experiences with personalization, savings, transparency, and convenience, ensuring confidence in every purchase. Microsoft Shopping is your personal shopping companion, empowering customers to shop smarter and discover what they love. By harnessing the power of AI (artificial intelligence), LLMs (large language models) and LLM-based Agents, we are building best-in-class shopping experiences across Bing, MSN, and Edge. If you are passionate about transforming the online shopping experience for millions of users, this role is for you.</div><div><br>
We are seeking a <b>Senior Applied Scientist</b> who is passionate about machine learning, data analysis, and ML (machine learning) modeling to join our team. Your expertise will drive innovation and ensure the team is aligned with the Microsoft Shopping vision. This position offers a unique blend of scientific research, innovation, and strategic influence, allowing you to make a significant impact on both the team and the overall shopping experience at Microsoft Shopping.<br>
<br>
Microsoft&rsquo;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.</div></div></div></div><div><div><h3 class="jobSectionHeader"><b>
Qualifications</b></h3><div><div><b>
Required Qualifications:</b></div><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)
<ul><li>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)
</li><li>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)
</li><li>OR equivalent experience.<br>
</li></ul></li><li>
3+ years of industry experiences in machine learning or Natural Language Processing.<br>
</li><li>
Experience with LLMs (prompting, fine tuning, deployment).<br>
</li><li>
Experience with coding including programming language, including, but not limited to, Python, C, C++, C#, Java, JavaScript.</li></ul><div><b>
Preferred Qualifications:</b></div><ul><li>
Demonstrated ability to be productive and effective in a highly collaborative environment.</li><li>
Experience in Big Data machine learning with Cosmos/Scope/Spark/.<br>
</li><li>
Experience with design, problem solving, and data analysis skills, with demonstrated passion for quality, performance, and engineering excellence.</li></ul><div></div><div><br>
#MicrosoftAI #LLM #Shopping #Personalization #FineTuning #Prompting</div></div></div></div><div><div><h3 class="jobSectionHeader"><b>
Responsibilities</b></h3><div><ul><li>
Leverage state-of-art machine learning techniques to provide best personalized experience to end users.</li><li>
Originate, implement, and iterate on machine learning features &amp; models to keep improving our product quality.</li><li>
Closely collaborate with different teams within Microsoft to expose best personalized contents to end users, enable agile development &amp; experiments, deliver cross-team impact.</li><li>
Team lead and mentor resources across projects.</li></ul></div></div></div></div><div></div><div><div><div>
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.</div></div><div><div><div>
&#60116;</div>Industry leading healthcare</div><div><div>
&#59326;</div>Educational resources</div><div><div>
&#59628;</div>Discounts on products and services</div><div><div>
&#60157;</div>Savings and investments</div><div><div>
&#63586;</div>Maternity and paternity leave</div><div><div>
&#59927;</div>Generous time away</div><div><div>
&#60241;</div>Giving programs</div><div><div>
&#61396;</div>Opportunities to network and connect</div></div></div><div></div><div><div><div>
Microsoft 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. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.</div></div></div></div><p></p>

Senior Applied Scientist

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