Senior Data Scientist

Technology, Data & Digital · Data, AI & Analytics · Data Science · Data Analysis

In short

Microsoft is seeking an experienced Senior Data Scientist in Hyderabad, India, to leverage data, experimentation, and analytics for product strategy and customer experiences on Windows. This role involves partnering with cross-functional teams to provide data-driven insights and influence strategic decisions.

Responsibilities

Tackle complex business and product challenges using analytical rigor, statistical techniques, experimentation, and data-driven thinking.
Partner with Product, Engineering, Design, and business stakeholders to identify key business questions and translate them into measurable outcomes.
Define and operationalize key performance indicators (KPIs) and success metrics for customer-facing experiences.
Design and analyze experiments, causal inference studies, and observational analyses.
Develop analytical frameworks to understand customer behavior, product health, engagement trends, and growth opportunities.
Identify actionable insights and translate them into recommendations that influence product strategy and prioritization.
Measure the impact of product launches, feature investments, and strategic initiatives.
Communicate analytical findings effectively to technical and non-technical audiences.
Contribute to best practices in experimentation, measurement, statistical rigor, and decision science.
Mentor peers, participate in technical reviews, and help raise the quality bar for data science.
Design evaluation methodologies and success metrics for AI-powered 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.

Requirements

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.
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.

Skills

PythonSQLC#JavaSparkHadoopCosmosGenerative AILLMs

#Data Science#Analytics#Experimentation#Windows

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