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Quick apply
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Freelance Data Scientist Machine Learning information
What is the difference between Freelance Data Scientist Machine Learning vs Freelance Data Analyst?
| Aspect | Freelance Data Scientist Machine Learning | Freelance Data Analyst |
|---|---|---|
| Required Skills | Advanced statistical analysis, machine learning, programming (Python, R) | Data cleaning, visualization, basic statistical analysis |
| Tools & Technologies | TensorFlow, scikit-learn, Jupyter, cloud platforms | Excel, Tableau, SQL |
| Work Environment | Project-based, consulting, remote or client sites | Remote, freelance consulting, client reports |
| Industry Usage | Tech, finance, healthcare, e-commerce | Marketing, retail, finance, healthcare |
Freelance Data Scientist Machine Learning professionals focus on developing predictive models and algorithms using advanced techniques, often requiring programming and statistical expertise. Freelance Data Analysts handle data interpretation, visualization, and reporting, typically with less technical complexity. Both roles are in high demand but differ in skill level, tools, and project scope.
What are the most commonly searched types of Data Scientist Machine Learning jobs in Alabama?
The most popular types of Data Scientist Machine Learning jobs in Alabama are:
What are popular job titles related to Freelance Data Scientist Machine Learning jobs in Alabama?
For Freelance Data Scientist Machine Learning jobs in Alabama, the most frequently searched job titles are:
What job categories do people searching Freelance Data Scientist Machine Learning jobs in Alabama look for?
The top searched job categories for Freelance Data Scientist Machine Learning jobs in Alabama are:
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Cities in Alabama with the most Freelance Data Scientist Machine Learning job openings:
Full-time
Re-posted 26 days ago
Job description
Job Summary:
Torch Technologies is a 100% employee-owned company providing superior research, development, and engineering services to the Federal Government. They are seeking a Data Scientist / Analytics Engineer to develop advanced data processing and analytics capabilities supporting the Missile Defense Agency's Ground Test Program.
Responsibilities:
• Design, develop, and maintain automated data ingestion, staging, transformation, and processing workflows supporting Missile Defense System test and performance analysis.
• Build and maintain scalable business intelligence solutions, dashboards, and visual analytics products using Tableau and similar visualization platforms.
• Integrate and process data from diverse sources, including relational databases, structured and semi-structured files, and emerging data repositories.
• Collaborate with analysts, engineers, and subject matter experts to develop analytical solutions that improve operational insight and decision-making.
• Develop and optimize ETL/ELT processes using Python, SQL, Alteryx, and related technologies.
• Support the integration of artificial intelligence and machine learning capabilities into analytics platforms and visualization environments.
• Apply software development best practices, including testing, documentation, configuration management, and code quality standards.
• Work within cross-functional engineering teams to deliver scalable, maintainable, and mission-focused data solutions.
• Support continuous improvement initiatives associated with Digital Engineering and data modernization efforts.
Qualifications:
Required:
• U.S. Citizenship.
• Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Information Systems, or a related technical discipline.
• 5+ years of professional experience in data engineering, data analytics, business intelligence, or a related technical field.
• Ability to obtain and maintain a Secret DoD Security Clearance.
• Demonstrated experience developing automated data processing and workflow solutions.
• Strong proficiency with Tableau or comparable business intelligence and visualization platforms.
• Experience with relational databases and data storage technologies, including SQL Server, PostgreSQL, SQLite, and modern file-based formats such as Parquet.
• Proficiency with Python and common data science libraries and frameworks.
• Experience developing data pipelines, ETL processes, and automation solutions using Python, Alteryx, or similar tools.
• Strong analytical, problem-solving, organizational, and communication skills.
• Ability to work effectively in a collaborative team environment and communicate technical concepts to technical and non-technical stakeholders.
Preferred:
• Master's degree in Computer Science, Data Science, Engineering, Mathematics, Analytics, or a related discipline.
• Experience supporting Department of Defense (DoD), Missile Defense Agency (MDA), or other government engineering and test programs.
• Experience implementing artificial intelligence, machine learning, or generative AI solutions within operational environments.
• Experience with containerization and deployment technologies such as Docker and Kubernetes.
• Knowledge of cloud-based data and analytics architectures.
• Experience working within Agile software development environments.
• Exceptional written and verbal communication skills.
• Demonstrated ability to engage effectively with technical and executive stakeholders.
Company:
Founded in October 2002, Torch is a 100% employee-owned business headquartered in Huntsville, Alabama. Founded in 2002, the company is headquartered in Huntsville, USA, with a team of 501-1000 employees. The company is currently Late Stage.
Torch Technologies is a 100% employee-owned company providing superior research, development, and engineering services to the Federal Government. They are seeking a Data Scientist / Analytics Engineer to develop advanced data processing and analytics capabilities supporting the Missile Defense Agency's Ground Test Program.
Responsibilities:
• Design, develop, and maintain automated data ingestion, staging, transformation, and processing workflows supporting Missile Defense System test and performance analysis.
• Build and maintain scalable business intelligence solutions, dashboards, and visual analytics products using Tableau and similar visualization platforms.
• Integrate and process data from diverse sources, including relational databases, structured and semi-structured files, and emerging data repositories.
• Collaborate with analysts, engineers, and subject matter experts to develop analytical solutions that improve operational insight and decision-making.
• Develop and optimize ETL/ELT processes using Python, SQL, Alteryx, and related technologies.
• Support the integration of artificial intelligence and machine learning capabilities into analytics platforms and visualization environments.
• Apply software development best practices, including testing, documentation, configuration management, and code quality standards.
• Work within cross-functional engineering teams to deliver scalable, maintainable, and mission-focused data solutions.
• Support continuous improvement initiatives associated with Digital Engineering and data modernization efforts.
Qualifications:
Required:
• U.S. Citizenship.
• Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Information Systems, or a related technical discipline.
• 5+ years of professional experience in data engineering, data analytics, business intelligence, or a related technical field.
• Ability to obtain and maintain a Secret DoD Security Clearance.
• Demonstrated experience developing automated data processing and workflow solutions.
• Strong proficiency with Tableau or comparable business intelligence and visualization platforms.
• Experience with relational databases and data storage technologies, including SQL Server, PostgreSQL, SQLite, and modern file-based formats such as Parquet.
• Proficiency with Python and common data science libraries and frameworks.
• Experience developing data pipelines, ETL processes, and automation solutions using Python, Alteryx, or similar tools.
• Strong analytical, problem-solving, organizational, and communication skills.
• Ability to work effectively in a collaborative team environment and communicate technical concepts to technical and non-technical stakeholders.
Preferred:
• Master's degree in Computer Science, Data Science, Engineering, Mathematics, Analytics, or a related discipline.
• Experience supporting Department of Defense (DoD), Missile Defense Agency (MDA), or other government engineering and test programs.
• Experience implementing artificial intelligence, machine learning, or generative AI solutions within operational environments.
• Experience with containerization and deployment technologies such as Docker and Kubernetes.
• Knowledge of cloud-based data and analytics architectures.
• Experience working within Agile software development environments.
• Exceptional written and verbal communication skills.
• Demonstrated ability to engage effectively with technical and executive stakeholders.
Company:
Founded in October 2002, Torch is a 100% employee-owned business headquartered in Huntsville, Alabama. Founded in 2002, the company is headquartered in Huntsville, USA, with a team of 501-1000 employees. The company is currently Late Stage.
About Torch Technologies
Sourced by ZipRecruiter
Industry
Guided missile and space vehicle manufacturing
Company size
1,001 - 5,000 Employees
Headquarters location
Huntsville, AL, US
Year founded
2002