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Overview
We are seeking a passionate and technically skilled Data Scientist II to join the Commerce – Platforms, Data, and Experiences (PDX) team. This team plays a pivotal role in shaping Microsoft’s commerce data strategy, building scalable data platforms, and delivering actionable ML driven insights that drive business transformation across the ecosystem.
As a Data Scientist II in PDX, you will work at the intersection of data engineering, data processing, and machine learning to solve complex business problems. You will collaborate with cross-functional teams to design experiments, build predictive models, and develop scalable solutions that enhance decision-making and customer experiences by producing descriptive, diagnostic, predictive and prescriptive insights.
Responsibilities
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
We are seeking a passionate and technically skilled Data Scientist II to join the Commerce – Platforms, Data, and Experiences (PDX) team. This team plays a pivotal role in shaping Microsoft’s commerce data strategy, building scalable data platforms, and delivering actionable ML driven insights that drive business transformation across the ecosystem.
As a Data Scientist II in PDX, you will work at the intersection of data engineering, data processing, and machine learning to solve complex business problems. You will collaborate with cross-functional teams to design experiments, build predictive models, and develop scalable solutions that enhance decision-making and customer experiences by producing descriptive, diagnostic, predictive and prescriptive insights.
Responsibilities
- Design and implement advanced analytics solutions to support commerce data platform initiatives including analytics based on Machine Learning Models.
- Partner with engineering and product teams to define data requirements and ensure high-quality data pipelines.
- Conduct exploratory data analysis, feature engineering, and model evaluation using structured and unstructured datasets.
- Ensure the models built are operable, scalable, extensible and performant.
- Develop dashboards, visualizations, and storytelling artifacts to communicate insights to stakeholders.
- Lead experimentation efforts to evaluate new features, forecasting, data quality and anomaly detection systems.
- Build extensible solutions on LLM models to improve productivity of engineers across the commerce organization.
- 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.
- Proficiency in Python, SQL, and ML frameworks (e.g., Scikit-learn, TensorFlow, PyTorch).
- Experience with cloud platforms (Azure preferred) and big data technologies.
- Strong understanding of statistical modeling, predictive analytics, and experimentation design.
- Excellent communication and stakeholder management skills.
- Demonstrated experience leveraging AI tools and technologies to enhance engineering effectiveness, coupled with a strong curiosity and commitment to continuous learning in the field of Artificial Intelligence.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
Key Skills
Ranked by relevance
machine learning
artificial intelligence
data analysis
storytelling
tensorflow
ai tools
big data
pytorch
python
cloud
sql
ai
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- Posted
- Dec 26, 2025
- Type
- Full-time
- Level
- Not Applicable
- Location
- Bengaluru
- Company
- Microsoft
Industries
Software Development
Categories
Engineering
Information Technology
Related Jobs
3 roles aligned with this opportunity
View Job Details
Related
Data Scientist
2026-05-30
Full-time
Mid-Senior
India
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Information Technology
View Job Details
Related
Virtual Reality Software Engineer
2026-05-27
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Software Development
Engineering