Data Scientist II
6 months ago
Overview
Join the OneDrive-SharePoint (ODSP) team, a vital part of the Office M365 ecosystem, based in Hyderabad. This role offers a unique opportunity to be part of a multi-billion-dollar organization that handles 200M MAU and exabytes of customer data in the cloud. As a Data Scientist , you will address technically challenging AI problems in a full-stack cloud environment and contribute significantly to the roadmap and vision of both your team and partner teams.
SharePoint is instrumental in aiding millions in collaborative efforts and enabling major companies worldwide to tackle mission-critical problems. We focus on developing global scale services to store, secure, and manage highly sensitive data.
You'll be at the forefront of our next-generation AI innovations aimed at delivering exceptional performance, scalability, reliability, and security through cloud-based distributed systems.
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.
Qualifications
Required Qualifications:
Bachelor’s, Master’s, or PhD in Computer Science or equivalent. 6+ years of experience in the data science field, proficient in languages such as Python, R, and SQL. Strong experience in agile teams with a customer-focused approach. Excellent communication and cross-group collaboration skills. Experience in Azure or other cloud and distributed systems is highly valued. Familiarity with advancements in large language models. Experience in big data analysis. Ability to think and operate as a product-oriented data scientist. Understanding of MLOps for deploying ML models to production. Proven ability to test and evaluate model performance. Other Requirements:
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:
Preferred Qualifications:
Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science,OR related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science,OR related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science,OR related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)OR equivalent experience.
Responsibilities
As a Data Scientist, you will play a pivotal role in shaping the future of our products. Your responsibilities include:
Developing and refining ML systems, big data analysis, staying abreast of the latest advancements in large language models. Thinking strategically like a product-oriented data scientist, understanding the broader business context and customer needs. Assisting in deploying ML models to production, with an emphasis on MLOps. Conducting thorough testing and evaluation of model performance to ensure efficiency and accuracy. Overseeing the lifecycle of models from data analysis,creation to deployment, ensuring robustness and scalability. Collaborating closely with product development and engineering teams to ensure high-quality design and architecture. Mentoring and supporting the growth of colleagues in the field of data science, fostering a culture of learning and innovation. Actively participating in creating and executing quality plans, test strategies, and processes. Being self-driven, curious, proactive, and result-oriented. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.Industry leading healthcareEducational resourcesDiscounts on products and servicesSavings and investmentsMaternity and paternity leaveGenerous time awayGiving programsOpportunities to network and connect-
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