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Senior Data Scientist

United States, Redmond 119800.00 - 234700.00 USD / Year · Job Posted July 04, 2026
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Job Description

Microsoft is a company where passionate innovators come to collaborate, envision what can be, and take their careers further. This is a world of more possibilities, more innovation, more openness, and the sky is the limit of thinking in a cloud-enabled world. Our sellers are key to how customers and partners understand Microsoft’s products and strategies, but how do we align the conversations of thousands of sellers with each other and with the company’s strategy? Making sure that the sellers are having the right conversations at the right time is key to the company’s success, and the Worldwide Incentive Compensation team connects strategy to seller behavior in one of the most important ways: by determining how sellers get paid. Worldwide Incentive Compensation (WWIC) is the team at Microsoft that is responsible for the design, implementation and operations related to the sales and incentive plans across all of Microsoft, impacting 40K+ employees. Our vision is to embody best-in-class, design-to-deployment incentive compensation that inspires sellers to maximize their success and rewards and enables sustainable growth, share, and customer success. This role blends deep technical expertise in data science with business acumen in sales compensation, operations, payout administration, governance, compliance, and support. You will partner with cross-functional teams to design solutions to drive efficiency, build machine learning solutions and AI agents, and deliver insights that influence operations and delivery of vehicles. In addition, you’ll engage with diverse stakeholders, manage complex relationships, and drive innovation across the organization. We are looking for a Senior Data Scientist who is willing to work in a dynamic environment to solve real life day-to-day problems, leveraging data science techniques. You will enjoy and be successful in this role if you are curious and willing to challenge the status quo and come up with data-driven solutions to ambiguous problems. As a Senior Data Scientist, you will focus on continuously improving operations to enable strategy, striking the right balance between pushing the envelope to innovate and ensuring that innovations can be implemented to deliver a great seller experience. Your work will directly influence product direction, customer success motions, and executive decision‑making. Microsoft’s mission is to empower every person and every organization on the planet to achieve more, and we’re dedicated to this mission across every aspect of our company. Our culture is centered on embracing a growth mindset and encouraging teams and leaders to bring their highly qualified contributions each day. Join us and help shape the future of the world

Job Responsibility

  • Partners cross-functionally to identify and pursue opportunities for applying machine learning and other data-science methods to quota and incentive design
  • Bridges Finance, Sales, Business Sales Operations, and Product teams through deep technical expertise
  • Educates field managers and sales leaders on quota methodology, data inputs, and model mechanics
  • Demonstrate strong business acumen by aligning data science initiatives with strategic goals
  • Leverage an understanding of incentive compensation design, levers, operations, payout administration, governance, compliance and support delivery vehicles
  • Collaborate with business teams to frame analytical questions, define hypotheses, and design experiments
  • Engage with stakeholders to review concepts for solutions using data-driven insights
  • Translate business context into analytical frameworks
  • Design, develop, and implement scalable methods, processes, and systems to consolidate and analyze large, diverse datasets
  • Build and maintain data pipelines and automated processes
  • Apply advanced statistical techniques and machine learning models
  • Build AI agents that can deliver subject-relevant data and insights
  • Leverage Microsoft’s AI/ML stack
  • Conduct scenario modeling and effective reviews
  • Evaluate performance and ensure alignment with business objectives
  • Interpret and communicate insights clearly
  • Act as a trusted advisor to functional team members and org leadership
  • Collaborate cross-functionally with internal and external stakeholders
  • Contribute to the development of global tools and processes
  • Identify opportunities for automation and process optimization
  • Stay current with industry trends
  • Assesses programs for potential risks, verifying adherence to company policies and procedures
  • Writes efficient, readable, and extensible code and models
  • Leads project teams in gathering, integrating, and interpreting data
  • Generalizes ML solutions into repeatable frameworks
  • Anticipates risks such as data leakage, bias/variance tradeoffs
  • Oversees data acquisition and ensures datasets are properly formatted and accurately documented
  • Builds data platforms from scratch across product lines
  • Identifies new opportunities from data
  • Conducts thorough reviews of analytical techniques and processes
  • Ensures clear alignment between selected models and business objectives
  • Defines and designs feedback loops and evaluation methods
  • Embody our culture and values

Requirements

  • Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience
  • Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience
  • Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience
  • equivalent experience

Nice to have

  • 5+ years of hands-on experience with cloud data platforms (e.g., Azure, AWS or Google etc.) required
  • 5+ years of programming experience in Python, SQL Server, and PySpark
  • 5+ years of hands-on experience translating business requirements into data-driven solutions using ML algorithms
  • 2+ year of experience in PowerBI reporting and SSAS is a plus
  • 2+ year of experience in business planning is plus
  • Experience in quota modeling, incentive compensation, or sales analytics and forecast is a plus
  • Hands-on experience with cloud platforms and tools such as Azure Synapse and Azure Foundry is a plus
  • Experience designing, building, or deploying agentic AI systems is a plus

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