Data Scientist (AWS, AI, ML),15+yrs Requires

Currently we are not able to Sponsor any Visa or accepting any Visa Candidates

Requirements:
- 8+ years as a Data Scientist. Seeking both model building and deployment experience.
- Degree''ed professionals are preferred (4 additional years of experience could replace degree)
- Python and SQL are required. Advanced proficiency in Python and Spark/Scala for classical statistical analysis and data modeling, machine learning and ETL processes. Intermediate to advanced ability to create data visualizations using Python.
- AWS Cloud knowledge (AWS migration considered big plus). Must have solid knowledge in one or more AWS Service (SageMaker, Bedrock, Kendra, Lambda are REQUIRED)
- Ability to write production-ready code including documentation and unit tests.
- Experience with machine learning methods like k-nearest neighbors, random forests, ensemble methods and more = Required
- Strong expertise in Artificial Intelligence (AI) / Machine Learning (ML) is required.
- AgenticAI is a big plus
- Proficiency in data science modeling - Machine Learning, Deep Learning, Decision Trees, Random Forest, Neural Networks, Supervised/Unsupervised Learning, Forecasting, Predictive Modeling and Clustering.
- Strong background in machine learning using unsupervised and supervised methods.
- Deep knowledge of fundamentals of machine learning, data mining and statistical predictive modeling, and extensive experience applying these methods to real world problems
- Fluency in SQL and other programming languages. Some development experience in at least one scripting language (PHP, Python, Perl, etc.)