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Senior Data Scientist Security Clearance

Job in Huntsville, Madison County, Alabama, 35801, USA
Listing for: Anonymous Employer
Full Time position
Listed on 2026-07-19
Job specializations:
  • IT/Tech
    Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Data Scientist
Salary/Wage Range or Industry Benchmark: 70 - 90 USD Hourly USD 70.00 90.00 HOUR
Job Description & How to Apply Below
Position: Senior Data Scientist with Security Clearance
Senior Data Scientist
W2 Pay Rate: $70-90/hr depending on experience

Position Overview
We are seeking a Senior Data Scientist to support the development of advanced analytics, machine learning, and artificial intelligence solutions in a complex enterprise environment. This role will work across large and diverse datasets to develop predictive models, automate decision-making processes, and deliver actionable insights that support mission and business objectives.
The ideal candidate combines strong software engineering skills with practical experience in machine learning, statistical analysis, and cloud-based data environments. Success in this role requires the ability to rapidly learn new tools and technologies while collaborating with engineering, data, and product teams.

Key Responsibilities

• Design, develop, and deploy machine learning and data science solutions to address complex business and operational challenges

• Build and maintain scalable data processing, feature engineering, and model deployment pipelines

• Develop software and analytical solutions using modern programming languages and frameworks

• Conduct exploratory data analysis and statistical modeling to identify trends, anomalies, and opportunities for optimization

• Evaluate, validate, and improve machine learning model performance using appropriate statistical techniques and methodologies

• Collaborate with software engineers, architects, and stakeholders to integrate machine learning capabilities into enterprise applications

• Support the deployment, monitoring, and lifecycle management of machine learning models in cloud environments

• Develop technical documentation, visualizations, and presentations to communicate findings and recommendations

• Contribute to software development best practices, code reviews, and continuous integration/continuous delivery processes

• Research emerging technologies and recommend innovative approaches to improve analytical capabilities

Required Qualifications

• Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related technical discipline

• Experience developing software solutions using Python, Java, Scala, or similar programming languages

• Strong understanding of object-oriented programming and/or functional programming principles

• Knowledge of machine learning algorithms and techniques

• Experience applying natural language processing (NLP) methodologies

• Strong understanding of statistical analysis and model evaluation techniques

• Experience developing, testing, and maintaining software using Git-based version control systems

• Experience working within CI/CD environments using Git and Git Lab

• Experience utilizing Amazon Web Services (AWS) cloud technologies

• Strong problem-solving and analytical skills

• Ability to rapidly learn and adapt to new programming languages, frameworks, and technologies

• Strong communication and collaboration skills

Preferred Qualifications

Hands-on experience with AWS services such as: o EMR
o Bedrock
o Lambda
o Event Bridge

• Familiarity with agentic AI architectures and frameworks

• Knowledge of Model Context Protocol (MCP)

• Experience designing and deploying generative AI solutions

• Familiarity with Spring Boot and modern Java application development

• Experience supporting production machine learning workloads in cloud environments

• Knowledge of MLOps concepts and model deployment best practices Desired Technical Skills

• Python

• Java

• Scala

• Machine Learning

• Natural Language Processing (NLP)

• Statistical Modeling

• AWS

• Git

• Git Lab CI/CD

• Data Engineering

• Model Evaluation

• Generative AI

• Agentic AI

• MCP

• Spring Boot What Makes a Strong Candidate

• Strong combination of software engineering and data science expertise

• Ability to translate business problems into analytical solutions

• Comfortable working in fast-paced environments with evolving technical requirements

• Passion for continuous learning and emerging AI technologies
Position Requirements
10+ Years work experience
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