onsite
Sr. Principal Data Scientist / Machine Learning Engineer - ascentt
Data Scientist
Lead end‑to‑end ML initiatives, designing scalable models and data pipelines on AWS, while mentoring teams and driving production deployments with Python, PyTorch, and TensorFlow.
About the role
Key Responsibilities
- Architect and deploy large‑scale machine learning solutions on AWS, ensuring high availability and performance.
- Lead data engineering efforts to build robust pipelines, ingesting and transforming data from diverse sources using SQL and Python.
- Mentor and collaborate with cross‑functional teams, translating business problems into data science solutions.
- Conduct rigorous experimentation, model validation, and A/B testing to optimize model accuracy and ROI.
- Champion best practices in model governance, reproducibility, and ethical AI.
Requirements
- 10+ years of experience in data science and machine learning, with a proven track record of production deployments.
- Expertise in Python, PyTorch/TensorFlow, and AWS services (SageMaker, EC2, S3).
- Strong background in SQL, data engineering, and scalable pipeline design.
- Excellent communication skills and ability to lead technical teams.
- Experience with MLOps tools and model monitoring is a plus.
Skills
pythonmachine learningdeep learningawssqlpytorchtensorflow