Sr. Data and Applied Scientist

Microsoft Dynamics 365 is a suite of easy-to-learn and easy-to-use business solutions tailored to any market, designed for any business size, and dedicated to growing business through happy customers. The Customer Experiences Applications (CXA) team is at the forefront of digital transformation, empowering organizations to revolutionize their sales, marketing and contact center operations through cutting-edge AI solutions and product offerings, represents a new era of applications that harness the power of data, AI, and productivity tools to deliver unparalleled experiences. 

We are looking for a Senior Data and Applied Scientist to join our team. As a Senior Data and Applied Scientist in the CXA team, you will work with product managers to understand, explore and implement AI/ML solutions to solve business needs by collaborating with the partner Engineering teams. You will have the opportunity to work on state-of-the-art technologies, including generative AI, interpretable Machine Learning (ML) models and large-scale multi-modality model training and implementation. You will have the chance to engage with customers and solve the business needs end-to-end, from ideation to production.   

We innovate and collaborate closely with our partners and customers in a very agile environment. If the opportunity to collaborate with team members, enable end-to-end business scenarios using cutting-edge AI technologies and to solve problems for large scale 24x7 business SaaS applications excite you, we would love to talk to you!  

Responsibilities

• Drive thought leadership, architecture for high scale, high throughput, low latency inferencing.
• Drive AI projects through their entire life cycle from idea creation through applied research, implementation, experimentation and finally to worldwide availability.
• You will be expected to meet with stakeholders/PM to gather the requirements and collaborate with cross-functional teams, including software engineers, to implement E2E solutions.
• Conduct experiments to evaluate model performance (including Large Language Models).
• Explore novel techniques and approaches to enhance model capabilities. Record ongoing work and experimental findings, sharing them to encourage innovation.
• Optimize model performance, scalability, and efficiency and deploy to production.
• Monitor model performance, troubleshoot issues, and iterate improvements.
• Stay up to date with the latest advancements in LLM, NLP, deep learning, and AI research.
• Be involved in the onboarding process for new team members, providing guidance and support as they join the team.
• Embody our Culture, Values & Responsible AI standards

Qualifications

• Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 5+ 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.
• 3+ years of Experience with design and implementation of enterprise-scale AI products. 

Other Requirements:

• Ability to meet Microsoft, customer and/or government security screening requirements is required for this role. These requirements include but are not limited to the following specialized security screenings: 
• Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.

Preferred Qualifications: 

• Experience delivering Dynamics 365 and/or Power Platform solutions.   

• Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch) to develop production-grade quality products.
• Publication track records at top conferences like ACL, EMNLP, SIGKDD, AAAI, WSDM, COLING, WWW, NIPS, ICASSP, etc. 

• Excellent problem-solving skills and the ability to work independently and collaboratively.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

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