Microsoft Is Hiring 2024 for its Data Scientist, Microsoft Drive is organizing Off CAmpus Drive for candidates in Any Batch. In order to apply, candidates should have degree in Bachelors/Masters Degree. If you are interested, Please apply as soon as possible.
Company Name: Microsoft
Role: Data Scientist
Location: Work From Home
Experience: Freshers
Qualification: Bachelors/Masters Degree
Batch: Any Batch
Job Type: Full Time
Salary: Best in Industry
Microsoft Is Hiring 2024
Job Description:
Have you ever imagined a world with an infinite amount of storage available and accessible to everyone? A place where everyone in the world can easily access their data from anywhere at any time via any means (e.g., mobile phones, tablets, PCs, smart devices, etc.). Did you ever desire a universally accessible storage system to record all the knowledge known to mankind or to store all the data collected from all the scientists in the world for them to collaborate upon? Do you want to be part of a team that strives to bring these to reality?
If so, the Microsoft Azure Storage team is what you are looking for. We are building Microsoft’s cloud storage solution – Microsoft Azure Storage, which is a massively scalable, highly distributed, ubiquitously accessible storage system, designed to scale out and serve the entire world. We continue to have tremendous hockey stick growth, we have many Exabyte’s of data stored, and are designing and building systems for Zettabyte scale to support demand growth for the coming years.
We are looking for high-energy, creative modeling geeks who are willing to work in a dynamic environment to solve real life day to day problems, leveraging data science techniques. You will enjoy and be successful in this role if you are curious and willing to challenge the status quo and come up with data driven solutions to ambiguous problems.
As a Data Scientist in the Azure Storage team, you will work on huge amount of data to develop Machine Learning solutions and provide insights to team and customers to make data driven decision. Additionally, you will work closely with engineering teams, product managers, business leaders to build data pipelines, and bring intelligence into the storage service. This opportunity will allow you to gain experience in Big Data, Machine Learning and Distributed Systems in cloud services and storage, accelerate career growth, and provide an opportunity to work in a highly dynamic, flexible, and globally distributed team.
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.
Requirements:
- Bachelor’s Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 2+ years experience in business analytics, data science, enginnering, data modeling or data engineering work
- OR Master’s Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field
- OR equivalent experience.
- Experience in querying with traditional and big data repositories (MS SQL server, SQL Analysis Service, Azure SQL DB/Data Warehouse, Azure Kusto, MS Fabric/Synpase).
- Data visualization skills to be able to present insights that drive business impact.
Responsibility:
- Assists with initial data collection and understands which analysis techniques appropriate and which tools are necessary for data exploration. Develops a foundational understanding of methodology and standard statistical options to analyze and organize data as required.
- Work with large, complex data sets, solving difficult, non-routine analysis problems with advanced data science methods.
- Applies (or develops if necessary) tools and pipelines to efficiently collect, clean, and prepare massive volumes of data for analysis.
- Understands modeling techniques used within the team, then run model tools on prepared data sets.
- Supports identification of dependencies, and the development of design documents for a product feature with oversight.
- Create and implement code for a product, service, or feature reusing code as applicable.
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