The Senior Data Scientist role at Microsoft focuses on delivering strategic data science projects that drive business transformation through advanced analytics and AI solutions. The team values a growth mindset and diverse perspectives, aiming to create measurable impacts for influential organizations. This position combines technical expertise with consulting skills to influence decisions and promote data-driven strategies. Candidates will engage with stakeholders to translate business problems into actionable AI solutions.

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience, OR Master's Degree in the same fields AND 3+ years data-science experience, OR Bachelor's Degree in the same fields AND 5+ years data-science experience, OR equivalent experience.
• Citizenship verification is required due to legal restrictions.
• Proficiency in Python and SQL, with experience in cloud platforms, preferably Azure.
• Knowledge of Responsible AI principles and ethical data practices.
• Experience with broader software engineering lifecycle practices, including version control, testing, and production deployment of Machine Learning solutions.

• Own delivery of complex, high-impact data science and AI solutions for strategic consulting engagements.
• Collaborate with stakeholders to define business problems and translate them into actionable AI-driven solutions.
• Develop project plans, assess risks, and ensure alignment with strategic objectives and ethical AI principles.
• Acquire, clean, and prepare large datasets for modeling.
• Build and deploy predictive and prescriptive models using modern machine learning techniques.
• Present findings to senior stakeholders using compelling storytelling and visualizations.
• Act as a trusted advisor to internal teams and customers, ensuring solutions meet business needs.

• Employees at Microsoft are often offered comprehensive, “world-class” benefits—including health and mental-wellness programs, competitive pay with bonuses and stock awards, and retirement/savings options. Time-off and flexibility are common, with generous vacation and holidays, parental and caregiver leave, and flexible work schedules, alongside learning support, employee resource groups, product discounts, and matching-gifts/volunteering programs. Specific benefits can vary by region.