Job Description

We are seeking a passionate and technically skilled

Senior

Software Engineer

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 Senior Software Engineer 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

--------------------

Build scalable machine learning models

as part of the

Commerce Platform

that would act as the foundation for insights across the Commerce Platform.

Design and implement

advanced analytics solutions to support commerce data platform initiatives including analytics based on Machine Learning Models. Design skill should include scale, extensibility, performance, re-training for the ML 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. 5+ 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.


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Microsoft is an equal opportunity employer. Consistent with applicable law, 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 and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.