Sr. Data Scientist - Baltimore, United States - KMM Technologies

Description

Job Description

Job Description

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Position:

Sr. Data Scientist

Location:

Reston, VA (Remote for 6 months & hybrid in future)
Long Term Contract

Job Description :

FEP Local systems provides Machine Learning service to FEP BCBS plans to improve 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, we need resources to help to development ML program with FEP Local development team.

Required Experience

:

Healthcare domain experience
Extensive experience in processes to automate data ingestion, preparation, model training, predictions, and data delivery
Must have extensive experience implementing of AWS Services such as Lambda, S3, and AppFlow.
Perform various data sourcing, transformation, and storage tasks
Statistical based data analysis and developing machine learning models
Experience with Python usage
Experience with deploying and monitoring machine learning models
Bachelor's Degree in Computer Science or related field
Must have more than one year of AWS Sagemaker experience.
Proven track record of supporting high quality data science processes or applications
Highly developed problem-solving 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
Experience with deploying and monitoring machine learning models
Attend status and projects meetings to discuss, schedule, prioritize tasks, and report progress of projects
Experience with implementation of AWS Services preferred such as Lambda, S3, and AppFlow.
Knowledge of SQL. Experience with Snowflake desirable.
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 non-technical 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.
Thanks & Regards,

• LAXMAN

KMM Technologies, Inc.
CMMI Level 2 | ISO 9001 | ISO 20000 | ISO 27000 Certified
WOSB, SBA 8(A), MDOT MBE & NMSDC MBE
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