As a Senior Data Scientist at Microsoft, you will lead the delivery of strategic data science projects that drive business transformation through advanced analytics and AI solutions. You will collaborate with stakeholders to define business problems and develop actionable AI-driven strategies. This role requires a blend of technical expertise and consulting skills, enabling you to influence decisions and promote data-driven practices. Join a team that values innovation, diversity, and a growth mindset to make a meaningful impact globally.

• Doctorate in a relevant field and 1+ years of data science experience, or a Master's Degree and 3+ years of experience, or a Bachelor's Degree and 5+ years of experience.
• Proficiency in Python and SQL, with experience in cloud platforms, preferably Azure.
• Proven consulting and stakeholder engagement skills with the ability to influence decisions.
• Knowledge of Responsible AI principles and ethical data practices.
• Experience with the software engineering lifecycle, including version control, testing, and production deployment of ML solutions.

• Own the 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.