Data Scientist

Tata Consultancy Services; Malvern (Chester County); On-site; USD 100,000 - 135,000; Full time

Benefits offered by this job

Discretionary Annual Incentive

Comprehensive Medical Coverage

Family Support: Parental Leaves

Commuter Benefits

Training Reimbursement

Vacation, Sick Leave & Holidays

Job summary

Tata Consultancy Services in the United States seeks a Senior AWS Data Scientist with 8+ years of experience to design, deploy and optimize scalable ML/AI solutions on AWS.

Expertise in SageMaker, Bedrock and MLOps, along with Python, SQL and analytics services, is required to drive GenAI workloads and observability across the platform.

Qualifications

• Experience building, deploying and monitoring scalable ML/AI solutions on AWS.
• Strong Python, SQL and ML framework skills.
• Hands-on with AWS analytics services and data engineering tools.

Responsibilities

• Lead design, development, deployment and monitoring of ML/AI models on AWS.
• Collaborate with stakeholders to deliver scalable GenAI workloads.

Skills

SageMaker

Python

ML

MLOps

AWS Analytics

SageMaker Pipelines

CI/CD

Docker

GitHub

GenAI

Bedrock

JumpStart

RAG

Arize

S3

Glue

Athena

Redshift

Lambda

CloudWatch

Pandas

NumPy

Scikit-learn

TensorFlow

PyTorch

Education

Bachelor's in Computer Science

Tools

SageMaker

CI/CD

Docker

GitHub

Job description

Job Description

• 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.

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

Qualifications:

• BACHELOR OF COMPUTER SCIENCE