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🏢 About the Company

Microsoft is a global technology leader that empowers every person and every organization on the planet to achieve more. With innovation at its core, Microsoft operates across cloud computing, AI, data platforms, enterprise software, and consumer technologies.

Microsoft fosters a culture of inclusion, continuous learning, and collaboration, offering employees opportunities to work on impactful, large-scale products while growing their careers in a supportive environment.

💼 About the Role

Microsoft is hiring a Data Science Engineer (Data Scientist II) for its Commerce – Platforms, Data, and Experiences (PDX) team.
This role focuses on building scalable data platforms, developing machine learning models, and generating actionable insights that drive business transformation across Microsoft’s commerce ecosystem.

You will work at the intersection of data engineering, analytics, and machine learning, collaborating closely with engineering and product teams.

📋 Job Overview


  
    Detail
    Information
  
  
    Job Role
    Data Science Engineer (Data Scientist II)
  
  
    Company
    Microsoft
  
  
    Location
    Bangalore, Karnataka, India
  
  
    Work Mode
    Hybrid (3 days/week in office)
  
  
    Employment Type
    Full-Time
  
  
    Experience Required
    2+ Years
  
  
    Job Category
    Research, Applied & Data Sciences
  
  
    Travel
    Less than 25%
  
  
    Job Number
    200015612

Detail	Information
Job Role	Data Science Engineer (Data Scientist II)
Company	Microsoft
Location	Bangalore, Karnataka, India
Work Mode	Hybrid (3 days/week in office)
Employment Type	Full-Time
Experience Required	2+ Years
Job Category	Research, Applied & Data Sciences
Travel	Less than 25%
Job Number	200015612

🛠 Key Responsibilities

Design and implement advanced analytics and machine learning solutions
Build scalable and performant ML-driven analytics for commerce platforms
Partner with engineering and product teams to define data requirements
Perform exploratory data analysis, feature engineering, and model evaluation
Develop dashboards, visualizations, and data storytelling artifacts
Lead experimentation, forecasting, anomaly detection, and data quality initiatives
Build extensible solutions using LLM models to improve engineering productivity
Ensure solutions are operable, scalable, and production-ready

🎯 Eligibility / Qualifications

Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or related field
2+ years of experience in Data Science, Analytics, or Applied Machine Learning
Strong proficiency in Python and SQL
Experience with ML frameworks such as Scikit-learn, TensorFlow, or PyTorch
Hands-on experience with cloud platforms (Azure preferred)
Strong understanding of statistical modeling, experimentation, and predictive analytics
Excellent communication and stakeholder management skills
Curiosity and commitment to continuous learning in AI and data science

⏰ Shift / Work Schedule

Hybrid work model
3 days per week working from office
Standard business working hours
Travel requirement: Less than 25%

📑 Selection Process


  
    Stage
    Description
  
  
    Application Review
    Resume and profile screening
  
  
    Technical Evaluation
    Data science, ML, and problem-solving assessment
  
  
    Interviews
    Technical + Behavioral interviews
  
  
    Final Decision
    Offer rollout based on performance

Stage	Description
Application Review	Resume and profile screening
Technical Evaluation	Data science, ML, and problem-solving assessment
Interviews	Technical + Behavioral interviews
Final Decision	Offer rollout based on performance

🧾 How to Apply (Step-by-step)

Visit the official Microsoft Careers page
Search using Job Number: 200015612
Click on Apply Now
Sign in or create a Microsoft Careers account
Upload your updated resume
Submit the application and track status via email

Apply HERE

📌 Important Notes

Microsoft never asks for fees or payments during recruitment
Applications are reviewed on a rolling basis
The role will remain open for a minimum of 5 days
Ensure all information provided is accurate and complete

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