Microsoft Senior Data & Applied Scientist Manager 

India, Telangana, Hyderabad 

143746790

Want to apply AI/MLusing data fromlooking for a Senior Data and Applied Scientistwho can develop and deploy advanced analytical and machine learninga multi-functionaloperations organization.

At Microsoft, our mission is to empower every person and every organization on the planet to achieve more.is responsible forthe end-to-end delivery and services of Microsoft’s vast array of hardware products including Surface Devices, Xbox Consoles, Accessories, and next-generation products like HoloLens.

As part ofleading-edge AIto drive improvements across key areas of Cost, Quality, Supply and Services. We streamline,Machine/Deep Learning models, statistical methods, mathematical optimization, simulation, and other advanced techniques.

to deliver high-quality AI capabilities.This position requiresvarious disciplines, such as data science, data/feature engineering, security auth patterns,/DevOps, Azure resources, communication skills, and awork style.

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.

Required Qualifications:

• Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research)
  • OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
  • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
  • OR equivalent experience.
• Minimum 8 years of academic or professional experience in applied Data Science using Python.
• Minimum 5 years of experience in Software Engineering, includingdeployingsolutions at scale using Azure or equivalent cloud platforms/ecosystems.
• Minimum 5 years of experience in leading a team of engineers or scientists, fostering, mentoring career growth.
• Highproficiencywith data handling and data engineering, running big data solutions like Spark,SQL ServerlessorHIVE.

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.

Preferred Qualifications:

• Master's Degree in Statistics, Econometrics, Computer Science, Electrical, Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
  • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical, Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
  • OR equivalent experience.
• 3+ years of people management experience.
• 3+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers).
• Experience working within and directing geographically dispersed, diverse, and virtual teams.
• Experience managing both technical and non-technical stakeholders and able to resolve complex business and technical issues.
• Experience in designing and training Deep Learning models such as LSTM, CNN and RNN models.
• Experience in applying Computer Vision, Image Analysis and Object Detection algorithms such as YOLO, SSD and R-CNN.
• Hands-on experience working in a Supply Chain, Manufacturing, Finance, or related roles.
• Experience withPowerBIoranotherbusiness intelligence platforms.

• and Data Engineers, fosteringa culture of continuous learning.
• Partner with business stakeholders, Program Managers, Engineers, and other Data Scientists to understand business context,identifyopportunities, translate business needs into analytical and technical requirements, and deploy solutions.
• Ensure your team adheres to engineering and rigorous data science principlesand best-practices, producinghigh-quality, secure, scalablecode and models.
• Evangelize Data Science capabilities andtheirimpact across the broader organization.
• Identifyand introduce industry best-practice techniques within AI and Data Science.