Microsoft Hiring Freshers 2024 | Data Science - Fulltime Opportunities for University Graduates

Microsoft has invited applications for the recruitment of freshers for Data Science – Fulltime Opportunities for University Graduates. It is an entry level position and freshers can apply.

Interested candidates meeting the eligibility criteria can apply online at the earliest.

Candidates can find the links for the job notification, applying online, eligibility criteria and other details here.

Microsoft Hiring Freshers 2024 Details:

Experience: Freshers

Post Name: Data Science – Fulltime Opportunities for University Graduates

Qualification: Bachelor’s Degree in Data Science, Computer Science, Mathematics, Statistics or related field

Batch: Recent Batches

Salary: Rs. 16 LPA (expected)

Last Date to apply: As soon as possible

Job Locations:

Multiple Locations

(Up to 50% Work From Home)

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Overview

Every year, we welcome thousands of university students from every corner of the world to join Microsoft. You bring your aspirations, talent, potential—and excitement for the journey ahead. We’re a company of learn-it-all’s rather than know-it-alls and our culture is centered around embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day.
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.
Come build community, explore your passions, and do your best work at Microsoft with thousands of university graduates from every corner of the world.

Qualifications

Required/Minimum Qualifications

Bachelor’s Degree in Data Science, Mathematics, Statistics, Computer Science, or related field
- OR equivalent experience.

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Responsibilities

Business Understanding and Impact

Learns and understands project objectives and requirements from a business perspective. Assists senior leads with the assessment of a project, including risks, contingencies, requirements, assumptions, and constraints. Contributes 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 in order to identify quality problems, discover insights into the data, and/or detect subsets to form hypotheses. Understands 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 data analysis knowledge to clean, transform, analyze, integrate, and organize data to the level required by the analysis techniques selected. 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.

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Industry and Research Knowledge/Opportunity Identification

Learns and understands the current state of the industry, 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. Contributes to the development, testing, and implementation of changes to optimize code and improve reliability of systems/solutions. Develops an understanding of proper debugging techniques such as locating, isolating, and resolving errors and/or defects. Understands known issues and learns from senior developers/team members. Develops foundational understanding of Agile methodology and when they should be used. Contributes to documentation for production.