Microsoft Corporation
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, representing a new era of applications that harness the power of data, AI, and productivity tools to deliver unparalleled experiences.
We are looking for a Data Scientist to join our team.
In this role in the Microsoft Dynamics Customer Experience Application team, you will work with business and AI leaders as well as internal business users and partners to understand, explore and develop AI/ML solutions to solve their business needs.
This role requires you to be onsite 3 days a week in Microsoft\'s offices in Redmond, WA.
Microsoft’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.
Qualifications
Required Qualifications: Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 2+ years experience in business analytics, data science, software development, data modeling or data engineering work OR Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 1+ year(s) experience in business analytics, data science, software development, or data engineering work OR equivalent experience. 1+ year(s) of experience building generative AI applications. Other Requirements: Ability to meet Microsoft, customer and/or government security screening requirements are 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: 2+ years of experience contributing to the design and implementation of model finetuning pipelines (e.g., LoRA, domain/task-specific adaptation) for customer and product scenarios. 2+ years of applying transformer architectures and reinforcement learning techniques to improve finetuned models for reasoning, search, and generation tasks. 2+ years contributing to research publications (e.g., patents, libraries, or academic papers) and beginning to share work externally through conferences or industry events. Deep expertise in designing and scaling Generative AI pipelines (e.g., RAG systems, domain/task-specific finetuning). Data Engineering IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $131,400 - $215,400 per year. Microsoft will accept applications for the role until September 22, 2025. Responsibilities
In this role, you will collaborate with a team of skilled applied scientists and software engineers to implement AI/ML solutions and enhance customer experience, and you will be responsible for implementing AI features towards a wide variety of business problems within the Dynamics 365 products portfolio, ensuring quality standards and delivering software used by individuals and businesses worldwide. Focus on particular aspects of the product, developing extensive knowledge in the domain and technical framework, notably in Large Language Models (LLM), and play a role in advancing product development through ongoing awareness of industry trends and technologies. Assess business needs and integrate research to achieve business objectives. Your role involves guiding the selection of data to address issues strategically, leveraging your expertise to design, measure, and build AI applications to drive tangible business results. Record ongoing work and experimental findings, sharing them to encourage innovation. Assess the effectiveness of models and collaborate with product teams to design AI-driven experiences and build AI agents. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work. Industry leading healthcare Educational resources Discounts on products and services Savings and investments Maternity and paternity leave Generous time away Giving programs Opportunities to network and connect 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.
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Required Qualifications: Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 2+ years experience in business analytics, data science, software development, data modeling or data engineering work OR Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 1+ year(s) experience in business analytics, data science, software development, or data engineering work OR equivalent experience. 1+ year(s) of experience building generative AI applications. Other Requirements: Ability to meet Microsoft, customer and/or government security screening requirements are 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: 2+ years of experience contributing to the design and implementation of model finetuning pipelines (e.g., LoRA, domain/task-specific adaptation) for customer and product scenarios. 2+ years of applying transformer architectures and reinforcement learning techniques to improve finetuned models for reasoning, search, and generation tasks. 2+ years contributing to research publications (e.g., patents, libraries, or academic papers) and beginning to share work externally through conferences or industry events. Deep expertise in designing and scaling Generative AI pipelines (e.g., RAG systems, domain/task-specific finetuning). Data Engineering IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $131,400 - $215,400 per year. Microsoft will accept applications for the role until September 22, 2025. Responsibilities
In this role, you will collaborate with a team of skilled applied scientists and software engineers to implement AI/ML solutions and enhance customer experience, and you will be responsible for implementing AI features towards a wide variety of business problems within the Dynamics 365 products portfolio, ensuring quality standards and delivering software used by individuals and businesses worldwide. Focus on particular aspects of the product, developing extensive knowledge in the domain and technical framework, notably in Large Language Models (LLM), and play a role in advancing product development through ongoing awareness of industry trends and technologies. Assess business needs and integrate research to achieve business objectives. Your role involves guiding the selection of data to address issues strategically, leveraging your expertise to design, measure, and build AI applications to drive tangible business results. Record ongoing work and experimental findings, sharing them to encourage innovation. Assess the effectiveness of models and collaborate with product teams to design AI-driven experiences and build AI agents. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work. Industry leading healthcare Educational resources Discounts on products and services Savings and investments Maternity and paternity leave Generous time away Giving programs Opportunities to network and connect 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.
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