Senior Data scientist

Do you have a relentless passion for data and analytics and a desire to drive future products via key data insights? Do you want to help shape the future of collaboration experience and personal computing, by helping direct where investments should happen? Does the thought of being able to influence the product in each stage of the lifecycle through insights & predictions excite you? Do you love measuring, understanding, and predicting based on real-world user data to come up with insights that drive experiments and recommendations to help move business metrics? If so, we want to talk to you!

We are the Data & Applied Sciences team for Windows at Hyderabad, India. We work across various Windows products with the goal of using advanced analytics, modelling, and data science to inform decision-making, optimize product performance, and maximize business impact. Our mission is to transform data into actionable intelligence—whether it’s improving search relevance, fine-tuning foundational models, or driving growth through predictive insights. In short, we thrive on solving high-impact business problems for Windows through the power of data.

We're looking for an enthusiastic and expert Data Scientist to help us build and deliver business Intelligence through data for experiences running on the next generation of Windows devices. Lead initiatives in search relevance and evaluation, including corpus creation, metric design, and dataset development for diverse modalities. Enhance foundational models through fine-tuning and deliver insights that power enterprise growth. Your responsibilities will include working closely with a variety of teams such as program management, development, design, hardware and application partners to understand the key business questions for customer-facing scenarios, to set up the key performance indicators, deeply analyze the data to identify insights and experiment ideas that moves our business metrics. We will be looking to you to help evaluate the return of investments on new ideas, to assess if investments are meeting customer and business promises, to design and assess experiments, to measure growth and to derive insights that help identify next wave of opportunities and problems to be solved.

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.

• As an expert in data science, you will take on the most complex business problems and guide the rest of the team in their efforts, helping them formulate approaches to solve challenging problems and discover new opportunities using well-defined algorithms and data sources in the context of customer, engineering, and business needs. You will build everything required to uncover business opportunities and generate actionable insights that move the needle.
• You will establish causality and conduct experiments to gain insights into quality, health of products, and customer usage. Additionally, you will lead initiatives in search relevance and evaluation, including corpus creation, metric design, and dataset development for diverse modalities, while fine-tuning foundational models to improve intelligent search experiences.
• You will engage with peers to produce clear, compelling, and data-backed hypotheses and insights which are actionable and influence product and service improvements—crafting the experience millions of customers have with Windows. You will also engage in the peer review process and act on feedback while learning innovative methods, algorithms, and tools to increase the impact and applicability of your results. Through your analysis and research, you will curate and maintain Key Performance Indicators which show trends towards achieving a business goal.
• You will learn and excel in ways to find patterns in the data that are harder to detect but can lead to achieving our business objectives. Your analysis will not only show us what we’re doing right or wrong in our current methodology, but also what customer segments and strategies we should invest more in, and how, for achieving and exceeding our goals.