Data Scientist

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.

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.

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