Data & Applied Scientist Job in Noida at Microsoft

Microsoft is hiring for the role of Data & Applied Scientist!

Responsiblities of the Candidate:

• Research and develop production-grade models (forecasting, anomaly detection, optimization, clustering, etc.) for our global cloud business by using statistical and machine learning techniques.
• Manage large volumes of data, and create new and improved solutions for data collection, management, analyses, and data science model development.
• Drive the onboarding of new data and the refinement of existing data sources through feature engineering and feature selection.
• Apply statistical concepts and cutting-edge machine learning techniques to analyze cloud demand and optimize our data science model code for distributed computing platforms and task automation.
• Work closely with other data scientists and data engineers to deploy models that drive cloud infrastructure capacity planning.
• Present analytical findings and business insights to project managers, stakeholders, and senior leadership and keep abreast of new statistical / machine learning techniques and implement them as appropriate to improve predictive performance.
• Oversee and directs the plan or forecast across the company for demand planning. Evangelizes the demand plan with other leaders.
• Drive clarity and understanding of what is required to achieve the plan (e.g., promotions, sales resources, collaborative planning, forecasting, and replenishment [CPFR], budget, engineering changes) and assess plans to mitigate potential risks and issues.
•  Oversee the analysis of data and leads the team in identifying trends, patterns, correlations, and insights to develop new forecasting models and improve existing models.
• Oversee development of short and long term (e.g., weekly, monthly, quarterly) demand forecasts and develops and publishes key forecast accuracy metrics. Analyzes data to identify potential sources of forecasting error. Serves as an expert resource and leader of demand planning across the company and ensures that business drivers are incorporated into the plan (e.g., forecast, budget).

Requirements:

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field.
• 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques, and reporting results) or consulting experience OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field.
• 2+ years of data-science experience (e.g., managing structured and unstructured data, applying statistical techniques, and reporting results) OR equivalent experience.