Sr. Data Scientist with Healthcare Domain || 1 - 2 Visits Month in DC Metro area || 15+ Years Exp

Role: Sr. Data Scientist (AWS, AI, ML)

Work mode: Hybrid – 1-2 monthly visits in DC Metro area.

Contract: Long term

Interview Mode: 2 Video Rounds

Looking for: 15+Years profiles

Must Have

• Current Health Insurance Customer Experience
• 8+ years as a Data Scientist (Latest Exp)

Candidates from States ONLY: DC, MD, VA (DMV or touching states, driving distance only, no expenses covered)

Requirements

• 8+ years as a Data Scientist. Seeking both model building and deployment experience.
• Degree'd 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.)
• Strong skills in software prototyping and engineering with expertise in applicable programming and analytics languages (Python, R, Spark/Scala) and various open source machine learning and analytics packages to generate deliverable modules and prototype demonstrations of their work.
• Proven experience of using Python Machine Learning & Data Pre-processing Libraries. (Scikit Learn, Numpy, Pandas)
• Ability to initiate and drive projects to completion with minimal guidance
• The ability to communicate the results of analyses in a clear and effective manner
• Ability to transform concepts into practical solutions. Experience with data science/ML techniques
• Machine Learning experience -- Successful implementation of ML solutions
• Communication Ability -- Experience/comfort in presenting abstract concepts

Preferred, not required

• Preferred experience with a statistical package such as R, MATLAB, SPSS, SAS, Stata, etc.
• Proficiency with healthcare analytics and data structures is preferred.
• Desired interdisciplinary skills include big data technologies, ETL, statistics and causal inference, Deep Learning, modeling and simulation.
• Experience with large data sets and distributed computing (Hive/Hadoop) a plus.
• Leading data science projects or teams (as the most technically advanced team member) or working independently on data science projects.