Data Scientist Developer

• Optimize model performance and accuracy
• Collaborate with engineering teams to productionize models
• Monitor models in production and retrain as needed
• Document methodologies and maintain reproducible workflows
• Communicate insights to technical and non-technical stakeholders

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or related field
• 3+ years of experience in data science or machine learning development
• Strong proficiency in Python (Pandas, NumPy, Scikit-learn)
• Experience with SQL and relational databases
• Experience deploying ML models to production environments
• Strong understanding of statistics and machine learning algorithms
• Experience with version control (Git) and Agile development

Preferred Qualifications

• Experience with deep learning frameworks (TensorFlow, PyTorch)
• Experience with cloud platforms (AWS, Azure, GCP)
• Knowledge of MLOps practices and tools (MLflow, Airflow, Kubeflow)
• Experience with big data tools (Spark, Hadoop)
• Familiarity with Docker and Kubernetes