Job Information
Microsoft Corporation Senior Data & Applied Scientist in Hyderabad, India
Do you have a relentless passion for data engineering and analytics and a desire to drive future products via key data insights? Does the thought of being able to influence the product in each stage of the lifecycle through data engineering, platforms & insights it powers, excite you? Do you love designing, measuring, understanding, and visualizing 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 CIX Data team, part of the Windows and Devices (W+D) engineering organization. Our goal is to use advanced data engineering, analytics & data science to inform decision making, drive product performance and maximize business impact through the power of ML/AI. In short, we thrive on data to solve high impact business problems to enhance the experiences of Microsoft consumers! We are looking for a Senior Data & Applied Scientist who can help us power and foster a data-driven culture here in CIX(Consumer Identity Experiences)!
We're looking for an enthusiastic and expert Software & Data Engineers to help us build and deliver business Intelligence through data for experiences across 1.5 billion Windows devices and various Microsoft products. Your responsibilities will include working closely with a variety of teams such as Engineering, Program Management, Design and application partners to understand the key business questions for customer-facing scenarios, to set up the key performance indicators, and setup data pipelines 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.
Responsibilities
Enable the Windows, Developers, and Experiences team to do more with data across all aspects of the development lifecycle.
Contribute to a data-driven culture as well as a culture of experimentation across the organization.
Provide new and improve upon existing data platform offerings with a fundamental understanding of the end-to-end scenario.
Collaborate with partner teams and customers to scope and deliver projects.
Authoring and design of Big Data ETL pipelines in SCOPE, Scala, SQL, Python, or C#.
Data extraction across a wide variety of data sources.
Data cleaning, preprocessing, and transformation for further analysis by data analysts.
Data Validation framework from source to endpoints ensuring data quality and integrity.
Qualifications
Required Qualifications
Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techn
OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical tec
OR equivalent experience.
Proven coding and debugging skills in C#, C++, Java, or SQL .
Familiarity with distributed data processing and analysis, such as Map-Reduce or Apache Spark.
Ability to work and communicate effectively across disciplines and teams.
Preferred Qualifications:
Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science,
OR related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science,
OR related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science,
OR related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
OR equivalent experience.
5+ years of experience in data engineering.
Understanding and experience with data cloud computing technologies such as – Azure Synapse, Azure Data Factory, SQL, Azure Data Explorer, Power BI, PowerApps, Hadoop, YARN, Apache Spark.
Excellent analytical skills with systematic and structured approach to software design.
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations (https://careers.microsoft.com/v2/global/en/accessibility.html) .