Senior Applied Scientist

4 days ago


Bengaluru, Karnataka, India Microsoft Full time
Job Title: Senior Applied Scientist

Job Summary:

At Microsoft, we are seeking a highly skilled Senior Applied Scientist to join our Data & Applied Sciences team for Microsoft Teams. As a key member of our team, you will leverage advanced analytics, data science, and machine learning techniques to drive decision-making, enhance product performance, and maximize business impact.

Responsibilities:


  • Design and implement cutting-edge research and technology platforms for human communication understanding.
  • Work closely with cross-functional teams to develop and deploy AI-powered experiences.
  • Build and maintain large-scale datasets, develop and deploy machine learning models, and conduct rigorous A/B experiments.
  • Stay current on technology trends and scientific developments in relevant areas.
  • Collaborate with Development teams, Microsoft Research, and Product Teams to drive innovation and growth.


Requirements:


  • 4+ years of experience in Data Science / Machine Learning, with a strong background in Recommendation Systems.
  • Expertise in Exploratory Data Analysis, Inference Analysis, and Predictive Analysis (Regression, Classification, etc.).
  • Strong programming skills, with experience in languages such as Python, Java, or C++.
  • Excellent communication and collaboration skills, with the ability to work effectively in a team environment.


Preferred Qualifications:


  • Publications in major HCI/ML/IR/NLP conferences.
  • Awareness and understanding of emerging research and technologies related to Recommendation Systems.
  • Experience in large-scale data mining and cloud computing.
  • Strong analytical, problem-solving, and debugging skills.
  • Effective verbal, visual, and written communication skills.


What We Offer:


  • Competitive salary and benefits package.
  • Opportunities for growth and professional development.
  • Collaborative and dynamic work environment.
  • Access to cutting-edge technology and resources.
  • Recognition and rewards for outstanding performance.


How to Apply:

If you are a motivated and talented individual who is passionate about data science and machine learning, please submit your application, including your resume and cover letter, to our online portal. We look forward to hearing from you

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