Data Science Engineer at Microsoft

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

12 Mar, 26

Salary

0.0

Posted On

12 Dec, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Machine Learning, Python, SQL, Data Engineering, Predictive Analytics, Statistical Modeling, Feature Engineering, Exploratory Data Analysis, Cloud Platforms, Big Data Technologies, Dashboard Development, Data Visualization, Stakeholder Management, AI Tools, Continuous Learning

Industry

Software Development

Description

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 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. 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. 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. This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. 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.

Responsibilities

Design and implement advanced analytics solutions to support commerce data platform initiatives. Collaborate with cross-functional teams to build predictive models and develop scalable solutions that enhance decision-making.