Job Requirements
Huntsville, AL
Top Secret Polygraph not specified
Career Level not specified
$150,000 - $180,000
Job Description
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 GitLab
• 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 EventBridge
• 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
• GitLab 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
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 GitLab
• 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 EventBridge
• 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
• GitLab 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
group id: kforcecx