Senior Data Scientist

2 weeks ago

Hyderabad, India Microsoft Full time
Overview

Excited about transforming the global employee experience at Microsoft? Passionate about the future of work and harnessing AI and Machine Learning? Ready to build amazing user experiences on mobile, web and M365 products? Join us at

Microsoft Digital (MSD)

and thrive in cloud and AI.Your journey to shaping the digital future starts here.Microsoft Digital (MSD)’s

mission is to power, protect, and transform the employee experience at Microsoft across the globe. Come, build community, explore your passions, pursue your AI and ML aspirations, do your best work and be a part of the team within Microsoft’s Data Platform & Growth (DPG) organization and Experiences & Devices (E+D) division. Microsoft Digital (MSD), is the team that innovates, creates, and delivers the vision for Microsoft’s employee experience, human resources, corporate and legal affairs, global real estate products, and runs Microsoft’s internal network and infrastructure, plus builds campus modernization and hybrid solutions. You will leverage Gen AI, AI, ML, and other topical and latest technologies to focus on empowering Microsoft employees with the tools and services that define both the physical and digital future of work.Microsoft’s mission is to empower every person and every organization on the planet to achieve more, and we’re dedicated to this mission across every aspect of our company. is centered on embracing a growth mindset and encouraging teams and leaders to bring their best each day. Join us and help shape the future of the world.Job PurposeWe are seeking a highly skilled Data scientists with a solid foundation in Machine learning and Generative AI to join our dynamic team. The ideal candidate should have a minimum of 5 years of experience in designing and building AI systems and If you are a passionate and innovative Data Scientist who thrives in a collaborative environment, we encourage you to apply and join our team of talented professionals.

Qualifications

Preferred QualificationsBachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 8+ years experience in business analytics, data science, software development, data modeling, or data engineering work on AzureOR Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 6+ years experience in business analytics, data science, software development, data modeling or data engineeringOR equivalent experienceFoundation of statistical modelling , machine learning algorithms, experimental design, neural networks and Generative AI.Data visualization skills to be able to present insights that drive business impact on Azure.Proficiency in Python/Java/C++,Spark,Semantic kernel /Langchain and other tools for AI/ML development.Experience with machine learning frameworks such as TensorFlow and KerasExperience with Azure Machine Learning, Azure Cognitive Services, Azure Databricks, Azure Synapse Analytics, and other Azure services and tools for AI/ML would be a plus.Strong communication, collaboration, and problem-solving skills.Required QualificationsBachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 5+ years experience in business analytics, data science, software development, data modelling or data engineering workOR Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 4+ years experience in business analytics, data science, software development, data modelling or data engineering workOR equivalent experience.4+ years of experience inFoundation of statistical modelling , machine learning algorithms, experimental design, neural networks/ Generative AI..Proficiency in Python/Java/C++,Spark, Semantic kernel /Langchain and other tools for AI/ML development.Experience with machine learning frameworks such as TensorFlow and KerasNon-Technical skillsProblem solving - Ability to clearly understand problems, decompose them into smaller problems; and technical articulation skills so that it is easy for the team to collectively solve.Ability to work both independently and collectively in a fun team environment with minimal supervision.Good communication and stakeholder management skillsHigh capacity to learn and adapt to new technologies and engineering processes quickly.

Responsibilities

ResponsibilitiesDesign, develop, and deploy scalable and robust AI/ML solutions for various business problems and use cases.Work with large, complex data sets, solving difficult, non-routine analysis problems with advanced data science methods.Collaborate with cross-functional teams of data scientists, engineers, product managers, and business stakeholders to understand the requirements and deliver value.Applies (or develops if necessary) tools and pipelines to efficiently collect, clean, and prepare massive volumes of data for analysis.Transforms problems into analysis plans for data telemetry, metrics, predictive modelling, reporting, and experimentation. Communicates and gets alignment on analytics priorities.Responsible for designing and developing AI systems, including machine learning algorithms and Generative AI systems. Also responsible for testing and validating the accuracy and reliability of AI models, ensuring that they perform in line with business requirements and expectations.Research and evaluate new and emerging technologies, frameworks, and methodologies in the field of AI/ML and Generative AI.Establish and promote best practices, standards, and guidelines for MLOPs implementation.Mentor and coach junior AI/ML engineers and data scientists on Azure.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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