[New Job Vacancy] Data & Applied Scientist job in Microsoft, (Hyderabad, Telangana) – Jobs in Hyderabad, Telangana

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Job Opening details:-
Company Name :-
Position Name :-
Data & Applied Scientist
Company Location :-
Hyderabad, Telangana
Job Category :-
Jobs in Hyderabad

Full Job Description :-
Microsoft’s Cloud business is experiencing explosive growth, and the Capacity, Supply Chain & Provisioning (CSCP) organization is responsible for enabling the infrastructure underlying this growth. Our mission is to deliver the world’s computer with an industry-leading supply chain. CSCP is responsible for strategic sourcing, customer demand forecasting, capacity planning and management, supply chain planning and execution, capacity provisioning, and decommissioning and dispositioning of datacenter assets worldwide.
Microsoft’s mission is to empower every person and organization on the planet to achieve more, and we believe this mission has never been more important. It guides work across the company to recognize the enormous opportunity and responsibility to ensure that the technology we create benefits everyone on the planet, as well as benefiting the planet itself.
To fulfil this mission, we are looking for an individual that is passionate about our planet and Sustainability Product Innovation. Microsoft is committed to a more sustainable future backed by a $1B planned spend and carbon emission goals that are unparalleled in the industry. This work will include synthesizing data across a variety of environmental disciplines and leverage data science to recommend, guide Microsoft in its ambition and help millions of customers and partners of Microsoft to achieve their sustainability goals.
As part of the Cloud Supply Chain Sustainability (CSCS) team in Azure, we are at the heart of Microsoft’s cloud strategy. Our mission is to deliver a sustainable platform for our customers & partners by combining science-based approaches to climate change with a strong engineering culture of delivering platforms and services on Azure using the latest technologies in machine learning and the Internet of Things.
Our Culture
Growth mindset – we practice a learn it all vs a know-it-all attitude. Wins are cheered, failures are celebrated and viewed as learning opportunities
Candour – we believe in transparency and receiving and providing regular constructive feedback across the hierarchy
Diverse and Inclusive – every voice matters and is appreciated. This is a safe environment where you can express yourself without fear of retribution
Leadership oriented – each of us are leaders who strive to create clarity, generate energy, and deliver success. We believe in leading with empathy, trust, and context rather than control
Ideal Candidate
To be successful in this role you must demonstrate the following traits:
A team player who is self-starter, customer obsessed, highly inquisitive and biased towards action
Fast learner with a passion for problem solving
Comfortable with converting ambiguity into a well-defined project plan, and balance an eye for detail with adaptability and responsiveness to change
An ideal candidate would deliver results through innovation and persistence when similar candidates have given up.
Build the infrastructure & code for ETL processing of structured, semi-structured and unstructured data sources
Build visualization using Power Platform to build dashboards and reports to create actionable insights
Collaborate with teams to: Perform data analysis, leveraging large data sets to develop insights & support data management decisions, track, monitor, and publish cross data quality reporting/scorecards
Provide support on data-related issues and data infrastructure needs
Seek and incorporate continuous feedback to improve the quality of insights generated
Design an intuitive user experience for consuming recommendations and insights. Set and revise expectations across the course of a project
Collect, organize, and analyze data from multiple sources to generate insights and recommendations through Machine learning techniques
You will demonstrate a product mindset and look to deliver re-usable components that can be deployed as or into ML services/productized solutions
Bachelors or higher degrees in Computer Science, Data Science, or related disciplines
5+ years of software design and programming experience with languages like C/C++/C#/Java/Python/JavaScript libraries required
2+ years of experience with data visualization tools like Power BI, Tableau or equivalent
Advanced working knowledge of SQL
Experience shipping data science applications using various combinations of Scikit-Learn, SQL, Spark, MLflow, Flask, Docker etc
Knowledge of working in cloud-computing environment – Azure preferred
Experience in developing Big Data applications in the cloud using technologies such as Databricks, Spark, Azure Synapse or similar
Exposure to MLOps operationalizing ML models to production
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

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