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Senior Data Scientist

Microsoft · Posted Oct 13

Software, cloud computing, artificial intelligence, and hardware services

India, Telangana, HyderabadFull-timeOnsiteSenior Level8+ years₹45.0L–₹80.0L yearly49 applicants
SoftwareCloud ComputingArtificial IntelligenceConsumer ElectronicsInformation TechnologyPublic Company
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About the role

The Data & Applied Sciences team for Windows, based in Hyderabad, India, uses data science, analytics, experimentation, and measurement to inform decision making, improve customer experiences, and maximize business impact across the Windows ecosystem. The team partners with Product, Engineering, Design, Research, and business stakeholders to answer critical questions, evaluate investments, and measure outcomes. This Senior Data Scientist role drives product and business decisions through data-driven insights, experimentation, measurement frameworks, and advanced analytics for experiences running on Windows devices worldwide, including evaluation of AI-powered experiences.

What you will do

  • Partnering with Product, Engineering, Design, and business stakeholders to identify key business questions and translate them into measurable outcomes.
  • Defining and operationalizing key performance indicators (KPIs) and success metrics for customer-facing experiences.
  • Designing and analyzing experiments, causal inference studies, and observational analyses to evaluate product investments and business outcomes.
  • Developing analytical frameworks that help teams understand customer behavior, product health, engagement trends, and growth opportunities.
  • Identifying actionable insights and translating them into recommendations that influence product strategy and prioritization.
  • Measuring the impact of product launches, feature investments, and strategic initiatives.
  • Communicating analytical findings effectively to technical and non-technical audiences, including senior stakeholders.
  • Contributing to best practices in experimentation, measurement, statistical rigor, and decision science across the organization.
  • Mentoring peers, participating in technical reviews, and helping raise the quality bar for data science across the team.
  • Help design evaluation methodologies and success metrics for AI-powered and intelligent product experiences.
  • Apply statistical and experimental methods to assess the impact, quality, reliability, and customer value of AI-enabled capabilities.
  • Leverage modern AI-assisted analytical tools responsibly while maintaining high standards of scientific rigor and analytical excellence.

Skills used in this role

PythonSQLC#JavaSparkHadoopCosmosA/B TestingCausal InferenceStatistical InferencePredictive ModelingForecastingGenerative AILarge Language Models (LLMs)Product AnalyticsCollaborationCommunicationStakeholder ManagementMentoring

Preferred qualifications

  • Bachelor's Degree or higher in Data Science, Statistics, Computer Science, Engineering, Economics, Mathematics, or another quantitative discipline.
  • 8+ years of experience in Data Science, Analytics, Applied Statistics, or a related field.
  • Experience applying statistical inference, predictive modeling, forecasting, and quantitative analysis to solve business and product challenges.
  • Deep experience in experimentation, A/B testing, causal inference, and statistical analysis.
  • Experience designing and operationalizing product, customer, or business success metrics.
  • Experience working with large-scale data platforms such as Spark, Hadoop, Cosmos, or similar technologies.
  • Solid programming skills in Python, SQL, C#, Java, or similar languages.
  • Demonstrated ability to influence decisions through data-driven insights and recommendations.
  • Exceptional collaboration, communication, and stakeholder management skills.
  • Ability to thrive in highly ambiguous environments and drive clarity and action.
  • Passion for mentoring others and continuously learning emerging analytical and AI-related techniques.
  • Experience supporting large-scale consumer products or services.
  • Experience with product analytics, customer measurement, engagement analysis, growth, retention, or monetization scenarios.
  • Familiarity with Generative AI, Large Language Models (LLMs), and modern AI evaluation methodologies.
  • Experience building executive-facing narratives and communicating complex analytical findings in a simple, actionable manner.
  • If this sounds like you, we'd love to hear from you. Join us and help shape the future of Windows through data-driven decision making, experimentation, measurement, and analytics.

Benefits and support

  • Compensation and benefits are detailed in the job posting

About Microsoft

Microsoft Corporation is a multinational technology company that develops, licenses, and supports a wide range of software products, services, and hardware devices. Best known for its Windows operating systems, Microsoft 365 productivity suite, and Xbox gaming consoles, the company has expanded heavily into enterprise cloud computing via Azure and advanced artificial intelligence solutions. As one of the world's most valuable public enterprises, it empowers individuals and businesses globally through innovative digital transformation.

Industry
Software
Company size
228,000+ employees
Founded
April 4, 1975
Location
Redmond, Washington, USA
Funding stage
Public Company

Leadership

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Satya Nadella

Chairman and Chief Executive Officer

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Amy Hood

Chief Financial Officer

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Brad Smith

Vice Chair and President