Online applications are invited for the Fulltime Opportunities for Graduates at Microsoft. Check the eligibility and other details below!
About Microsoft
Microsoft India (R&D) Private Limited, a subsidiary of Microsoft Corporation, set up the Microsoft India Development Center (MSIDC) in Hyderabad in 1998. Over the past years, they have expanded to become one of Microsoft Corporation’s largest R&D centres outside its headquarters in Redmond.
Job Overview
Every year, MSC welcomes thousands of university students worldwide to join Microsoft. You bring your aspirations, talent, potential—and excitement for the journey ahead. Microsoft is a company of learn-it-alls rather than know-it-alls, and our culture is centred around embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. Does this sound like you? Learn more about our cultural attributes.
Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees, we develop 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.
Those hired into this role are invited to participate in Microsoft Aspire Experience, a two-year learning and development experience where you’ll build your network, cultivate intentional capabilities and gain perspective into the career opportunities across Microsoft’s many exciting businesses.
Responsibilities
Business Understanding and Impact
Learns and understands project objectives and requirements from a business perspective. Assists senior leads with project assessment, including risks, contingencies, requirements, assumptions, and constraints. Contribute to the development of a project plan. Shares insights with stakeholders based on direct work.
Data Preparation and Understanding
- Assists with initial data collection and familiarizes self with data to identify quality problems, discover insights into the data, and/or detect subsets to form hypotheses.
- 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).
- Leverages knowledge of data analysis to clean, transform, analyze, integrate, and organize data to the level required by the selected analysis techniques.
- Contributes to the description and exploration of data.
- Develops foundational understanding of methodology and standard statistical options and when they should be used. Understands and follows ethics and privacy policies when collecting and preparing data.
- Adheres to Microsoft’s privacy policy related to collecting and preparing data.
- Identifies data integrity problems.
Modeling and Statistical Analysis
- Learns and understands various modeling techniques used within the team (e.g., linear regression, multiple regression, decision-tree building, neural network generation, support machines, derivatives).
- Runs model tools on prepared datasets to create one or more models, seeking guidance as needed.
- Contributes to the research, identification, prototyping, and productizing of machine learning (ML)/artificial intelligence (AI) techniques and algorithms.
- Collaborates with project managers and development engineers to design machine learning and artificial intelligence-driven features in the product.
Evaluating for Insight and Impact
- Understand the linkage between the achieved model and business objectives. Assists with testing models on test applications and real data or production data.
- Analyzes model performance. Incorporates implicit and explicit customer feedback into model evaluation. Conducts a review of data analysis and modelling techniques to determine factors that may have been overlooked or need re-examining.
- Contributes to the summary of the review process.
Industry and Research Knowledge/Opportunity Identification
Learns and understands the industry’s current state, including knowledge of tools, techniques, strategies, and processes that can be utilized to improve process efficiency and performance. Maintains knowledge of current trends within the discipline. Attends internal research conferences and participates in on-hands training, when appropriate. Actively contributes to the body of thought leadership and intellectual property (IP) best practices.
Coding and Debugging
Writes readable code for a specific feature, enhancement and/or model, seeking guidance when needed. Contribute to the development, testing, and implementation of changes to optimize code and improve the reliability of systems/solutions. Develops an understanding of proper debugging techniques such as locating, isolating, and resolving errors and/or defects. Understand known issues and learn from senior developers/team members. Develops foundational understanding of Agile methodology and when it should be used. Contributes to documentation for production.
Business Management
Develops understanding of data structures and their relationship to Microsoft’s customer business. Observes senior engineers and learns best practices in identifying growth opportunities, understanding strategy goals, customer- and product-strategy goals, and exploring opportunities for machine learning (ML) application, seeking guidance when needed. Understand the business goals of the customer, on a per-engagement basis.
Customer/Partner Orientation
Leverages data science and business understanding to examine projects through a customer-oriented focus. Manages customer expectations regarding project/product progress and timeline. Takes responsibility to enhance customer excellence. Assists and learns from senior team members, interprets results, develops insights, and communicates results to customers. Possesses a basic understanding of model accuracy dependency on data quality and can articulate it in customer discussions.
Other
Embody our culture and values.
Qualifications
Bachelor’s Degree in Data Science, Mathematics, Statistics, Computer Science, or a related field OR equivalent experience.
How to Apply?
Interested candidates can directly apply through this link.
Salary
- Monthly in-hand salary: ₹ 2.4 Lakhs – ₹ 2.5 Lakhs
- Note: Salary information is taken from here!
