Jr/Associate Data Analyst - Artificial Intelligence (AI)/Machine Learning (ML)

Overview

At Credence, we support our clients’ mission-critical needs, powered by technology. We provide cutting-edge solutions, including AI/ML, enterprise modernization, and advanced intelligence capabilities, to the largest defense and health federal organizations. Through partnership and trust, we increase mission success for war-fighters and secure our nation for a better future.

We are privately held, are repeatedly recognized as a top place to work, and have been on the Inc. 5000 Fastest Growing Private Companies list for the last 12 years. We practice servant leadership and believe that by focusing on the success of our clients, team members, and partners, we all achieve greater success.

We are actively seeking a Jr/Associate Data Engineer/Analyst - Artificial Intelligence (AI)/Machine Learning (ML) to join our growing Automation practice. As a federal contractor, you will work on a DOD client-facing role, providing guidance for full life cycle IT programs and supporting the development of AI and automation solutions.

Responsibilities include, but are not limited to the duties listed below

• Assist in the design, development, and implementation of AI and ML solutions
• Support data preprocessing, feature engineering, and data visualization tasks
• Collaborate with cross-functional teams to identify and prioritize project requirements
• Participate in the development of technical documentation for AI and ML solutions
• Stay up to date with industry trends and emerging technologies in AI and ML

Education, Requirements and Qualifications

• Bachelor's degree in computer science, data science, or related field
• US citizenship required
• Excellent oral and written communication skills
• Ability to obtain a successful DoD Federal Background Investigation
• SECRET security clearance required
• 0-3 years of related experience
• Familiarity with AI and ML frameworks and tools, such as TensorFlow, PyTorch, or scikit-learn
• Basic understanding of data engineering principles and data modeling concepts
• Experience with agile development methodologies and version control systems, such as Git

Preferred Qualifications:

• Experience with cloud computing platforms, such as AWS or Azure
• Knowledge of cybersecurity principles and cloud security best practices
• Experience with data visualization tools, such as Tableau or Power BI
• Familiarity with DevOps tools, such as Jenkins or Docker
• Must have the ability to independently write data scripts in Python

Working Conditions and Physical Requirements

Please join us, as together we build a better world one mission at a time powered by Technology and its People!

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