Point your AI agent at freehire and let it find you a job.

Get the CLI →

Automat It

Open 48d

Senior Data Scientist (SageMaker, Bedrock)

Posted Updated 9 views
Discussion
- Analyze and prepare customer datasets - Build and evaluate Generative AI solutions - Build and fine-tune machine learning models - Collaborate with MLOps and engineering teams - Collaborate with customers on technical discovery - Deploy and validate production ML models - Design production ready ML architectures - Evaluate technical approaches for ML solutions - Mentor less experienced data scientists and engineers - Own data science projects end-to-end - Use SageMaker for training and deployment Perks/Benefits: - Continuous learning - Mentorship - Remote work flexibility - Sponsored AWS certifications

Skills

What Senior Data Science jobs ask for — and how much of it you have →
Apply

See also

Data Science jobs by country — openings, pay and top skills →

Tailor your CV for this role?

We couldn't check your fit for this role — add a CV to your profile to see it next time.