Data Scientist

Our Client is seeking a Data Scientist to improve their claim processing provider prediction and automation that reducing human intervention process. As extension of ML services to other business cases and additional plans who joined to this service

Responsibilities:

Develop AI and Generative AI models and solutions using AWS Sagemaker.
Evaluate select implement and support an enterprise data science toolkit ensure that systems are reliable scalable and maintainable
Build consensus around standards and best practices while ensuring alignment with enterprise principles
Use statistical and machine learning techniques to analyze data and develop predictive models
Communicate insights and findings to both technical and nontechnical audiences
Develop and deploy processes to automate data ingestion preparation model training predictions and data delivery
Monitor the performance of machine learning models and make improvements as needed
Discover the information hidden in vast amounts of data and help with making smarter decisions to deliver even better products.
Apply data mining techniques perform statistical analysis and build high quality prediction systems integrated with products.
Explore promote and implement semantic data capabilities through Natural Language Processing text analysis and Machine Learning techniques.
Attend status and projects meetings to discuss schedule prioritize tasks and report progress of projects

Requirements:

Bachelor s Degree in Computer Science or related field 3 years of experience in a Data Scientist or Machine Learning Engineer role required Must have more than one year of AWS Sagemaker experience. Experience with implementation of AWS Services preferred such as Lambda S3 and AppFlow. Knowledge of SQL. Experience with Snowflake desirable.
Proven track record of supporting high quality data science processes or applications
Highly developed problemsolving and troubleshooting skills
Ability to interact effectively with peers in a transparent manner
Ability to perform various data sourcing transformation and storage tasks
Knowledge of statistical based data analysis and developing machine learning models
Extensive Python usage

Experience with deploying and monitoring machine learning models.