AI Data Analyst Junior
The Junior AI Data Analyst supports the Marine Corps Program Office by performing foundational data preparation, script writing, query automation, and routine model execution under senior analyst guidance. This role contributes to modeling, simulation, and analysis efforts for the HQMC I&L Global Positioning Network Program, ensuring data quality and producing basic visualizations to support analytical products.
About Careertakes
👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, Information Technology & Services.
Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.
What You’ll Do
As an entry-level AI Data Analyst (Junior) supporting a Confidential Client, you will help turn data into actionable insight for machine learning and analytics teams. Typical responsibilities include:
- Support data collection, cleaning, and labeling for AI/ML datasets
- Run exploratory data analysis to surface data quality issues and basic trends
- Write and maintain SQL queries and Python scripts to transform datasets
- Create reproducible notebooks and documentation for data pipelines
- Validate model inputs and outputs by producing summary reports and visualizations
- Work closely with engineers and data scientists to prioritize data tasks and fix issues
- Contribute to team processes that improve data reliability and labeling accuracy
Minimum Qualifications
We use the same screening standards third-party recruiters use to identify strong early-career candidates. Minimum qualifications for this entry-level role:
- Bachelor’s degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Data Science) OR equivalent internship/coursework experience
- Practical experience with SQL and at least one scripting language (Python preferred)
- Familiarity with basic statistics and data cleaning techniques
- Strong attention to detail and ability to follow repeatable processes
- Effective written and verbal communication skills
- Authorization to work in the U.S.
Preferred / Nice-to-Have
- Experience with pandas, NumPy, or similar data libraries
- Exposure to machine learning concepts and workflows
- Experience with data labeling, annotation tools, or ETL processes
- Familiarity with data visualization tools (e.g., Matplotlib, Seaborn, Tableau)
- Coursework or internships involving AI model evaluation or data pipelines
Tools & Technologies
- Python (pandas, NumPy, Jupyter notebooks)
- SQL (MySQL, Postgres or similar)
- Version control (Git)
- Basic Linux/command-line skills
- Optional: labeling platforms, cloud storage (S3 or equivalent)
Location & Schedule
- Location: Boardman, OR (onsite or hybrid as defined by the Confidential Client)
- Employment type: Full-time, Entry-level
- Typical schedule: standard U.S. business hours; shift flexibility may be required depending on project timelines
Compensation & Benefits
Compensation and benefits are determined by the Confidential Client and will be communicated during the hiring process. Careertakes supports compliance with applicable state pay-transparency laws; if a publicly required salary range is available, it will be included on the job posting by the hiring organization.
Recruiting & Compliance Notes
Careertakes operates as a third-party recruiter. We screen candidates based on objective qualifications and job fit. To comply with U.S. federal and state employment laws, we encourage applicants to notify us of any accommodation needs early in the process. Reasonable accommodations are available to applicants with disabilities.
Why This Role Is a Good Fit
- Hands-on, technical entry point into AI and ML data work
- Opportunity to learn industry-standard tools and workflows
- Close collaboration with data scientists and engineers — great for building a strong technical foundation
Equal Opportunity & Hiring Transparency
Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.
If you have questions about how your data is used, please contact us directly.
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