Senior Data Scientist - Engineering & Architecture Group

Requirements

• Candidates must have a bachelor's degree in data science, Computer Science, Statistics, or a related field (master's or PhD preferred)
• 8+ years of business-focused data science experience

Responsibilities

• Leverage data science, AI and business domain knowledge to improve business performance, evaluate project plans, communicate business goals, and share insights with stakeholders
• Acquire, prepare, and explore data through querying, visualization, reporting techniques, and collaboration with other teams, ensuring data integrity
• Apply machine learning, generative AI and statistical analysis to develop models, train, optimize, and evaluate them, and communicate findings to stakeholders
• Design and deliver machine learning solutions covering Generative AI, Agentic solutions, computer vision, speech processing, forecasting, NLP, classification, clustering, reinforcement learning, and optimization
• Test, review, and improve models by analyzing performance, incorporating feedback, and contributing to the review process
• Write and debug efficient and scalable code while collaborating with engineering teams and integrate data models into customer systems and production
• Collaborate with customers and Microsoft teams to define business needs, create roadmaps for performance improvements, and influence stakeholders using storytelling and visual tools to drive solution value
• Uphold ethical standards by emphasizing Responsible AI principles in guiding stakeholders throughout the process
• Focus on customer needs and perspectives to promote adoption and build trust
• Develop and execute tailored solutions by overcoming obstacles and leveraging in-depth knowledge of best-in-class open-source technologies and Microsoft products
• Maintain transparency about data limitations to set realistic expectations and ensure accountability

Nice to Haves

• Master's or PhD degree in a relevant field
• Experience leading complex projects and designing scalable solutions
• Strong coding, problem-solving, and communication skills
• Understanding of the latest industry-wide developments

Perks and Benefits

• Flexible work environment
• Continuous learning and growth mindset
• Encouragement of diverse viewpoints and collaboration
• Value on personal and cultural experiences
• Commitment to Responsible AI
• Opportunity to work on impactful projects