Software Engineer II

• 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

• Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
• Preferred 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
• 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

• Preferred 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
• 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

Certain roles may be eligible for benefits and other compensation