Senior Data Scientist - Remote

This is a 6+ month remote contractor position. Our client is seeking a talented and motivated Senior Data Scientist (ML) to join our team on a high-impact project with tight deadlines and a complex ML pipeline. This is an excellent opportunity for a strong technical contributor who thrives in a collaborative environment and can deliver results under pressure. You will play a key role in building, optimizing, and maintaining scalable machine learning systems that drive real business value.

Key Responsibilities

• Design, develop, and productionize robust machine learning pipelines in a fast-paced environment.
• Collaborate closely with data scientists, engineers, and cross-functional teams to translate models into reliable, scalable production systems.
• Own end-to-end aspects of the ML lifecycle, including data ingestion, feature engineering, model training, deployment, monitoring, and iteration.
• Implement and maintain CI/CD workflows for ML systems to ensure rapid, reliable releases.
• Troubleshoot and optimize complex pipeline issues to meet aggressive timelines.
• Contribute to a positive, high-performing team culture through clear communication, knowledge sharing, and proactive problem-solving.

Required Qualifications

• Strong Python expertise with hands-on experience building production-grade ML applications.
• Proven ability to work effectively in a team setting with tight deadlines and complex technical challenges.
• Solid understanding of machine learning operations (MLOps) best practices.
• Experience with containerization using Docker.
• Proficiency with Git and version control workflows, including GitHub Actions.
• Strong problem-solving skills and a collaborative, team-first mindset.

Preferred Qualifications (Major Plus)

• Hands-on experience with Kubeflow for orchestrating ML workflows.
• Familiarity with Snowflake for data warehousing and analytics.
• Experience with observability and monitoring tools, particularly Datadog.
• Background in building and managing CI/CD pipelines for ML or data systems.
• Experience using AI-assisted development tools such as Windsurf, Devin, Cursor, or Claude Code to accelerate development.