36 applicants

Company

Index Analytics LLC · 8 hours ago

Data Scientist

Windsor Mill, MD

Full-time

Remote

Mid Level

$85K/yr - $216K/yr

3+ years exp

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AnalyticsCRM

Growth Opportunities

No H1B

U.S. Citizen Only

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Responsibilities

Build Machine Learning models and maintain the model development framework.

Build predictive models and apply advanced NLP techniques to analyze patterns and clusters in text data to address CMS business needs.

Implement machine learning pipelines using AWS and LLMs to develop scalable predictive systems and tools for analysis.

Provide insights through the combination of qualitative design research and exploratory data analysis.

Work in an agile environment with a team of data scientists.

Data mining using state-of-the-art methods.

Build predictive models, data visualizations, and tools for analysis.

Develop predictive systems and machine learning algorithms, Present model accuracy results in a clear manner.

Recommend solutions and strategies to address CMS business needs.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Data ScienceAWSMachine LearningNLPPythonRData ModelingStatistical MethodsText AnalyticsLarge Language ModelsUnsupervised LearningSupervised LearningGitHubJenkinsPandasNumPy

Required

US citizen or Authorized to Work and lived in the US for 3 of the last 5 years. Must be able to obtain a U.S. Federal government client badge and pass a government Public Trust.

Bachelors degree or higher in computer science or relevant discipline required

3+ years of experience as Data Scientist or similar role.

Experience with AWS cloud components including SageMaker, S3, Glue, Airflow, Databases (like RedShift, Dynamo DB, etc.), ECR.

Hands-on experience with data modeling methodologies to support API and Web Applications development Experience with Code repository tools like GitHub and automation with CI/CD tools like Jenkins, to manage code and testing pipelines.

Experience with Python, R

Subject matter expert on text analytics, and text AI tools

Strong background in NLP and state-of-the-art text models (for example BERT)

Working knowledge of Large Language Model (LLM), RAG-LLM and implementation on AWS

Experience with unsupervised and supervised machine learning techniques

Experience with common data science toolkits, such as pandas, NumPy etc.

Experience applying statistical methods and concepts, such as probability distributions, statistical testing, regression, etc.

Ability to demonstrate excellent written and oral communication required