Sr Data Scientist; AWS, AI,ML

Position: Sr Data Scientist (AWS, AI,ML)
Sr Data Scientist (AWS, AI,ML)

Duration - 1 year plus

Interview process -1-2 virtual interviews followed by a mandatory face to face final interview in Reston VA.

Work location
-Work onsite in Reston VA 1 X per month , possibly more

This position is a remote opportunity with onsite requests (1-2x per month) in the DC Metro area. We are seeking candidates that reside in the DC, MD, VA area or touching states.

8+ years of Data Science experience with Python, SQL, AWS (Sage Maker, Bedrock, Kendra, Lambda), Machine Learning/AI model development & deployment, Spark/Scala, predictive modeling, statistical analysis, and healthcare analytics experience in large-scale enterprise environments.

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 (Sage Maker, 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.
Agentic

AI 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.