Microsoft
Data Science
MicrosoftIndia5 hours ago
Full-timeEngineering, Information Technology
Overview

Come build community, explore your passions and do your best work at Microsoft. This opportunity will allow you to bring your aspirations, talent, potential and excitement for the journey ahead.

As a Data Scientist, you will help design, develop and program methods, processes and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions for client services, product enhancement and business impact. This opportunity will allow you to interact with product and service teams to identify questions and hypotheses for data analysis and experiments. You will develop and code software programs, algorithms, models and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources.

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

  • You will learn and understand project objectives and requirements from a business perspective as well as assist senior leads with the assessment of a project, including risks, contingencies, requirements, assumptions, and constraints.
  • You will contribute to the development of a project plan as well as share insights with stakeholders based on direct work and understand which analysis techniques are appropriate for data and which key technologies and tools are necessary for data exploration (e.g., structured query language [SQL], Python).
  • You will assist with initial data collection and familiarizes self with data in order to identify quality problems, discover insights into the data and/or detect subsets to form hypotheses.
  • You will learn and understand various modeling techniques used within the team (e.g., linear regression, multiple regression, decision-tree building, neural network generation, support machines, derivatives) as well as run model tools on prepared dataset to create one or more models, seeking guidance as needed.
  • You will contribute to the research, identification, prototyping, and productizing of machine learning (ML)/artificial intelligence (AI) techniques and algorithms and understand the linkage between achieved model and business objectives.
  • You will assist with testing models on test applications and on real data or production data and learn and understand the current state of the industry, including knowledge of tools, techniques, strategies and processes that can be utilized to improve process efficiency and performance.
  • You will embody our culture and values.

Qualifications

  • Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field OR
  • Master's Degree (or currently pursuing) in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. 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 with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

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