Senior Software Engineer

Senior

Software Engineer

Commerce – Platforms, Data, and Experiences (PDX)

data engineering, data processing, and machine learning

descriptive, diagnostic, predictive

prescriptive

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.