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Data Scientist With Sagemaker Jobs (NOW HIRING)

Mondo

Data Scientist

Phoenix, AZ · Remote

$65 - $75/hr

Senior Data Scientist , Remote. Start date is ASAP for this 12 Month Contract position. Job Title ... Direct experience with at least one MLOps tooling stack such as MLflow, Kubeflow, SageMaker ...

247Hire

Data Scientist

Los Angeles, CA · On-site

$120 - $160/hr

Overview - add details here Summary We're looking for a Senior Data Scientist with a strong ... Familiarity with AWS tools, especially SageMaker, or equivalent cloud-based ML environments

SOSi

Data Scientist with Security Clearance

Astoria, OR · On-site

Experience with Python, R, SQL, and data science libraries (e.g., Pandas, NumPy, SciPy) is required ... Personnel must have experience in cloud-based AI/ML tools, such as AWS SageMaker or Azure Machine ...

Augment

Principal Scientist, Data

Houston, TX

$80 - $83/hr

Data Scientist - AI/ML Focus Worksite: Onsite Monday-Thursday (Mandatory) - Houston, TX Must-Have ... Experience with Snowflake , AWS (SageMaker, S3, Redshift), and automated ML pipelines. * Strong ...

SWBC

Senior Data Scientist

San Antonio, TX

The Senior Data Scientist will serve as a subject matter expert and strategic partner to business ... AWS SageMaker, Bedrock, and S3. * Experience with MLOps tools and practices, including MLflow ...

SWBC

Senior Data Scientist

San Antonio, TX · On-site

The Senior Data Scientist will serve as a subject matter expert and strategic partner to business ... AWS SageMaker, Bedrock, and S3. * Experience with MLOps tools and practices, including MLflow ...

SWBC

Senior Data Scientist

San Antonio, TX · On-site

$140 - $210/hr

The Senior Data Scientist will serve as a subject matter expert and strategic partner to business ... SageMaker, Bedrock, and S3.* Experience with MLOps tools and practices, including MLflow, model ...

Swbc

Senior Data Scientist

San Antonio, TX

The Senior Data Scientist will serve as a subject matter expert and strategic partner to business ... AWS SageMaker, Bedrock, and S3. * Experience with MLOps tools and practices, including MLflow ...

SWBC

Senior Data Scientist

San Antonio, TX · On-site

... AWS SageMaker, Bedrock, and S3. • Experience with MLOps tools and practices, including MLflow ... data science experimentation and prototyping, and familiarity with Omni for analytics and AI ...

Marencor

Data Scientist with Python

Dallas, TX · On-site

Data Scientist with Python Location: Dallas, TX below. Data Science Skills * Deploy and maintain knowledge ingestion pipelines and integration into API-based services. * Strong knowledge of data ...

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Data Scientist With Sagemaker information

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$122.7K

$196.5K

How much do data scientist with sagemaker jobs pay per year?

As of Aug 14, 2026, the average yearly pay for data scientist with sagemaker in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is a data scientist with SageMaker?

A Data Scientist with SageMaker is a professional who leverages Amazon SageMaker, a cloud-based machine learning platform, to build, train, and deploy machine learning models at scale. They are skilled in data analysis, statistical modeling, and using SageMaker's tools for tasks such as data preprocessing, model selection, and automated machine learning (AutoML). These data scientists streamline workflows by taking advantage of SageMaker's integrated Jupyter notebooks, managed training, and deployment services to deliver insights and predictive solutions efficiently.

How does a data scientist with SageMaker typically collaborate with engineering and DevOps teams?

As a Data Scientist utilizing SageMaker, you will frequently collaborate with engineering and DevOps teams to ensure that your machine learning models are seamlessly integrated into production environments. This involves sharing model artifacts, working together on deployment pipelines, and optimizing cloud resource usage. Clear communication is essential, as you'll need to explain model requirements and performance metrics to technical stakeholders. Collaboration often includes conducting code reviews, troubleshooting deployment issues, and participating in discussions about scalability and security within AWS infrastructure.

What is the difference between Data Scientist With Sagemaker vs Data Scientist?

AspectData Scientist With SagemakerData Scientist
Required SkillsMachine learning, AWS Sagemaker, Python, data analysisData analysis, machine learning, Python, R, SQL
Work EnvironmentCloud-based platforms, AWS ecosystemOn-premises or cloud, various platforms
CertificationsAWS certifications beneficialData science certifications (e.g., CAP, DASCA)
Industry UsageTech, finance, healthcare using AWSBroad across industries

While both roles involve data analysis and machine learning, Data Scientist With Sagemaker specializes in deploying models using AWS Sagemaker, focusing on cloud-based solutions. In contrast, Data Scientist roles are broader, covering various tools and platforms. The Sagemaker role emphasizes cloud skills and AWS certifications, making it ideal for cloud-centric organizations.

What are the key skills and qualifications needed to thrive as a data scientist with SageMaker?

To thrive as a Data Scientist with SageMaker, you need strong skills in statistics, machine learning, programming (Python, R), and a solid background in data analysis, typically supported by a relevant degree. Mastery of AWS SageMaker, cloud platforms, version control tools, and certifications like AWS Certified Machine Learning are highly valued. Excellent problem-solving, communication, and the ability to work collaboratively set outstanding professionals apart in this role. These skills are crucial for building, deploying, and explaining scalable machine learning models that deliver real business value.
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Data Scientist With Sagemaker jobs near you
Infographic showing various Data Scientist With Sagemaker job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Data Scientist

Tata Consultancy Service Limited

Malvern, PA • On-site

$100K - $135K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 20 days ago

Job description

Must Have Technical/Functional Skills
• AWS Data Scientist with strong expertise in Amazon SageMaker, Python, Machine Learning, MLOps, and AWS Analytics services, capable of building, deploying, monitoring, and optimizing scalable ML/AI solutions, including GenAI workloads on AWS.
• Strong experience in Amazon SageMaker for ML model development, training, deployment, and monitoring.
• Proficiency in Python, SQL, Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch.
• Hands-on with S3, Glue, Athena, Redshift, Lambda, and CloudWatch.
• Expertise in feature engineering, predictive modeling, and statistical analysis.
• Experience with MLOps, SageMaker Pipelines, CI/CD, Docker, and GitHub.
• Knowledge of GenAI/LLMs, Amazon Bedrock, SageMaker JumpStart, and RAG frameworks.
• Exposure to Arize AI/ML model monitoring and observability.
• Strong problem-solving skills with experience delivering scalable AI/ML solutions on AWS.
Roles & Responsibilities
Senior AWS Data Scientist with 8+ years of experience in Machine Learning, MLOps, and GenAI, specializing in Amazon SageMaker, Bedrock, Python, and AWS analytics services to build, deploy, and optimize scalable AI/ML solutions.
Generic Managerial Skills, If any
• Strong leadership and stakeholder management skills, with experience leading cross-functional teams and driving delivery excellence.
• Effective communication with business and technical stakeholders.
TCS Employee Benefits Summary:
Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
Salary Range: $100,000 - 135,000 a year

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