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Microsoft Software Engineer II India, Karnataka, Bengaluru 43506349
24.09.2024
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Required Qualifications
• 5+ years of demonstrated innovative thinking to solve tough challenges when working with large sets of data.
• 5+ years of software design and development experience in an object-oriented language (e.g., C/C++, C#) and/or a scripting language (e.g., Python).
• 2+ years of experience working with large-scale computing systems like COSMOS, Geneva, U-SQL, Spark, HDInsight, Hadoop, MapReduce, and/or similar systems.
• 2+ years of experience working with relational databases using structured query languages like SQL.
• Ability to deliver results while working on loosely defined projects with incomplete data sets.
• Strong hands-on experience in decision sciences, machine learning, and data mining.
• Excellent written and verbal communication skills.
• Excellent interpersonal skills.
• 5+ years of software design and development experience in an object-oriented language (e.g., C/C++, C#) and/or a scripting language (e.g., Python).
• 2+ years of experience working with large-scale computing systems like COSMOS, Geneva, U-SQL, Spark, HDInsight, Hadoop, MapReduce, and/or similar systems.
• 2+ years of experience working with relational databases using structured query languages like SQL.
• Ability to deliver results while working on loosely defined projects with incomplete data sets.
• Strong hands-on experience in decision sciences, machine learning, and data mining.
• Excellent written and verbal communication skills.
• Excellent interpersonal skills.
Preferred Qualifications :
• Strong passion for, and an understanding of, the need to deliver the right business impact by unearthing deep insights from data.
• Deep familiarity with statistical models and methods (time-series analysis, regression analysis, experimental design, hypothesis testing, etc.)
• Ability to persuade strong personalities with hard data and facts, the ability to communicate complicated analysis methods, and the ability to explain technical insights to non-technical audiences.
• Focus on statistics, probability, big data, or machine learning.
• Deep familiarity with statistical models and methods (time-series analysis, regression analysis, experimental design, hypothesis testing, etc.)
• Ability to persuade strong personalities with hard data and facts, the ability to communicate complicated analysis methods, and the ability to explain technical insights to non-technical audiences.
• Focus on statistics, probability, big data, or machine learning.
Responsibilities
• Discover and present key insights that impact and help define product development.
• Analyze multiple large data sets using data science methods and scientific experimentation.
• Develop models of product usage and user behavior from telemetry data.
• Write telemetry instrumentation code in both Windows and Linux environments.
• Work with multiple feature teams in all disciplines to both produce and consume shared data assets.
• Use your creativity to solve complex data engineering challenges.
• Provide actionable recommendations that bring business value and improve our products.
• For V1 products, create test suites that validate customer scenarios.
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