Microsoft Senior Data Scientist 

India, Karnataka, Bengaluru 

971302035

Recommendation Engine

cutting edgeresearch and technology platforms for human communication understanding.You will work as part of a team that brings together talent in the areas of machine learning, natural language processing, recommenders, information retrieval, software engineering, and trustworthy computing.We value and encourage diversity in the belief that it leads to both great workplaces and great products.

Required 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 techn
  • 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 tec
  • OR equivalent experience.
• 2+ years customer-facing, project-delivery experience, professional services, and/or consulting experience.
• Expertise in Exploratory Data Analysis,Inference Analysis, and Predictive Analysis (Regression, Classification, etc.).

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:

• Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Qualifications:

• Doctorate 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 Master'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 Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
  • OR equivalent experience.
• Publications in major HCI/ML/IR/NLP conferences.Example: CHI,NeurIPS, ICML, KDD, WWW, SIGIR, WSDM, ACL, EMNLP
• Awareness and understanding of emerging research andtechnologies related to Recommendation Systems.
• Experience in large scale data mining and cloud computing.
• Analytical, problem solving,programmingand debugging skills.
• Effective verbal, visual and written communication skills.

You will be expected to work on many levels - from mining massive datasets foropportunities, through designing and implementing your solutions into our offline and live production systems, definingappropriate metricsto measure their effectiveness, conducting rigorous A/B

You will be involved in:

• Build models and featurization pipelines, enable feedback loop.
• Measure and improve the impact of models and work with product teams onappropriate designsof AI-powered experiences.
• Setting up,runningand analyzing experiments.
• Prototypingnew approachesand developing new algorithms, ML techniques such as modelling using deep learning, unsupervised ML approaches and privacy preserving data mining techniques.
• Improving metrics, feedback systems and reinforcement learning techniques.
• Working with other scientists, engineers and UX experts on the detailed design and implementation of end-to-end solutions, including data-pipelines for machine learning, deployments, performance monitoring and analysis, and continual refinement via feedback loop from real users.
• Staying current on technology trends and scientific developments in relevant areas inside and outside of the company, including attending academic and industrial conferences.
• Partnering with Development teams, Microsoft Research and Product Teams.