Sr. Data Science Engineer (Remote)

Job Summary

Key Responsibilities

• Design, develop, and deploy scalable machine learning models and predictive algorithms.
• Work with large, complex datasets to extract actionable insights.
• Lead end-to-end data science projects from problem definition to model deployment and monitoring.
• Collaborate with cross-functional teams including product, engineering, and business stakeholders.
• Implement data pipelines and automate data processing workflows using Python, Spark, or similar technologies.
• Ensure models and code are reproducible, well-documented, and maintainable.
• Stay current with the latest trends and technologies in data science, AI, and machine learning.
• Mentor junior data scientists and contribute to a culture of technical excellence.
  

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or related field.
• 7+ years of experience in data science, machine learning, or a related field.
• Strong programming skills in Python (preferred), R, or Scala.
• Experience with machine learning frameworks such as scikit-learn, TensorFlow, PyTorch.
• Expertise in SQL and data wrangling with large datasets.
• Experience with data platforms such as Spark, Hadoop, or AWS/GCP/Azure.
• Familiarity with model deployment tools such as Docker, MLflow, FastAPI, or Airflow.
• Solid understanding of statistical techniques and predictive modeling.
  

Preferred Skills

• Experience working in Agile development environments.
• Knowledge of deep learning architectures (CNNs, RNNs, transformers).
• Experience with Natural Language Processing (NLP) or Computer Vision is a plus.
• Familiarity with MLOps and CI/CD for ML projects.
• Prior experience leading projects or mentoring teams.