Senior Data Scientist
Job Description
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 Service Applications Team delivers business applications for Connected Customer Care for Contact Centers! Our team is at the forefront of digital transformation, empowering organizations to revolutionize their customer service 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 across all channels. We are looking for a Senior Data Scientist to join our team. In this role in the Microsoft Dynamics Customer Service 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.
Locations
- Redmond, Washington, United States, Redmond, Washington, United States
Salary
Salary not disclosed
Required Qualifications
- Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 4+ 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 3+ year(s) experience in business analytics, data science, software development, or data engineering work OR equivalent experience. (degree)
- OR Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 3+ year(s) experience in business analytics, data science, software development, or data engineering work (degree)
- OR equivalent experience. (degree)
- 1+ year(s) of experience building generative AI applications. (degree)
- 1+ year (s) of experience fine-tuning language models. (degree)
- 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: (degree)
- Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter. (degree)
- 2+ years of experience leading the development of advanced model finetuning techniques (e.g., multi-tenant LoRA, instruction tuning, reinforcement learning–based optimization), establishing best practices across teams. (degree)
- 4+ years of technical leadership in designing and scaling Generative AI pipelines (RAG, finetuning, evaluation frameworks), with deep expertise in transformer models and architectures. (degree)
Preferred Qualifications
- 2+ years of experience leading the development of advanced model finetuning techniques (e.g., multi-tenant LoRA, instruction tuning, reinforcement learning–based optimization), establishing best practices across teams. (degree)
- 4+ years of technical leadership in designing and scaling Generative AI pipelines (RAG, finetuning, evaluation frameworks), with deep expertise in transformer models and architectures. (degree)
Responsibilities
- Focus on particular aspects of our 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.
Travel Requirements
3 days / week in-office
