Senior Data Scientist—Amazon SageMaker, AWS Glue, and PySpark (Remote Work)

Job Overview

Are you an experienced data scientist with expertise in Amazon SageMaker, AWS Glue, and PySpark? We are hiring a Senior Data Scientist to join our dynamic team at Indeed. This is a full-time, remote position with opportunities to work on cutting-edge AI and machine learning projects in collaboration with AWS. If you’re looking for jobs in the USA, jobs in the UK, jobs in Kuwait, or remote jobs, this role is a great opportunity to advance your career.

Job Details

• Position: Senior Data Scientist – Amazon SageMaker, AWS Glue, and PySpark
• Company: Indeed (Amazon Work from Home)
• Location: New York City, USA (Remote Work Available)
• Role Type: Full-time
• Career Level: Mid-Senior Level
• Experience Required: 6-9 years
• Education: Associate Degree or higher
• Open Positions: 5

Key Responsibilities

• Design, develop, and implement end-to-end data science solutions using AWS Glue, PySpark, and Amazon SageMaker.
• Build large-scale data pipelines for real-time and batch processing.
• Develop, train, and deploy machine learning models on Amazon SageMaker.
• Monitor production models using AWS CloudWatch and optimize performance.
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• •Automate MLOps workflows to improve operational efficiency.
• Work intimately with cross-useful groups to incorporate computer based intelligence arrangements into business processes.
• Ensure compliance with industry best practices for security, scalability, and maintainability.
• Stay up to date with the latest advancements in AI, machine learning, and cloud computing.

Required Skills and Experience

• 6-9 years of experience in data science, machine learning, or a related field.
• Strong expertise in Amazon SageMaker, AWS Glue, and PySpark.
• Capability in Python for information handling and model turn of events.
• Hands-on experience with AWS CloudWatch for monitoring ML workflows.
• Strong analytical and problem-solving skills with a FinTech background preferred.
• Experience with CI/CD pipelines and MLOps best practices.
• Ability to work independently and in a remote work environment.
• Excellent communication and documentation skills.

Why Join Us?

• Work with an industry-leading team in machine learning and cloud computing.
• Competitive salary and remote employment opportunities.
• Flexible work schedule, allowing for part-time remote jobs and full-time engagement.
• Career growth in one of the most in-demand fields.
• Work on high-impact projects with global clients.

How to Apply

If you’re ready to take your career to the next level with a remote workplace and exciting AI-driven projects, apply today! Submit your resume and portfolio via our Indeed careers page.

FAQs (Google NLP-Friendly Format)

1. What are the requirements for this senior data scientist role?

Candidates must have 6-9 years of experience in data science, strong proficiency in Amazon SageMaker, AWS Glue, and PySpark, and an associate degree or higher.

2. Can I apply for this job if I’m not in the USA?

Yes! This is a remote work opportunity, and candidates from different locations, including jobs in the UK, jobs in Kuwait, and worldwide, are encouraged to apply.

3. Is this a full-time or part-time remote job?

This is a full-time, remote position, but we also offer part-time remote employment opportunities.

4. What industries will I work with in this role?

This role primarily focuses on FinTech and AI-driven industries, providing innovative solutions using AWS machine learning tools.

5. Where can I apply for this job?

You can apply directly through our Indeed website for jobs or check out our Indeed careers page for more opportunities.