Junior Data Scientist
The Junior Data Scientist role at Confidential Client is an entry-level position focused on developing strong technical skills and project experience in data science and machine learning. Candidates will work on real-world projects involving programming languages like Java and Python, statistical analysis, and data visualization, with an emphasis on hands-on client project experience to meet employer requirements. The position supports career growth through skill enhancement and offers opportunities for candidates with various visa statuses.
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 / IT Services.
Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.
Role Overview
Confidential Client is seeking a Junior Data Scientist (entry-level) based in the San Antonio / Fort Sam Houston area to support data science and machine learning initiatives for technology clients. This role is a great fit for recent graduates or early-career data practitioners who have hands-on project experience, are eager to learn, and want to build real-world ML and analytics skills.
What You’ll Do
- Work on data preparation and feature engineering for structured and unstructured datasets
- Build, evaluate, and iterate on machine learning models (classification, regression, time series)
- Develop data visualizations and dashboards to communicate results to stakeholders
- Apply statistical methods to support experimentation and model validation
- Implement reproducible pipelines and collaborate with engineers to productionize models
- Document analyses, present findings to technical and non-technical audiences, and support client-facing demos
What We’re Looking For (Minimum Qualifications)
- Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, Statistics, or a related field
- Hands-on project experience (coursework, internships, personal or open-source projects) that demonstrates data science skills
- Programming experience with Python (or SAS) and familiarity with data manipulation libraries (pandas, numpy)
- Strong foundation in statistics and data analysis concepts
- Experience or familiarity with data visualization tools and techniques (e.g., Tableau, PowerBI, matplotlib, seaborn)
- Clear written and verbal communication skills; able to explain technical results to clients and teammates
- Self-motivated, curious, and able to learn new tools and methods quickly
- Eligible to work in the U.S.; Confidential Client considers candidates with different visa statuses and may support STEM OPT extensions and certain sponsorship pathways
Preferred Skills
- Experience with machine learning libraries (scikit-learn, TensorFlow, PyTorch)
- Knowledge of NLP or text-mining techniques (topic modeling, embeddings)
- Exposure to computer vision or time-series modeling
- Experience building dashboards in Tableau or PowerBI
- Familiarity with Docker, REST APIs, and basic software development lifecycle practices
Recruiter Notes & Hiring Process
- This opportunity is staffed by Careertakes as a third-party recruiter; final employment will be with Confidential Client.
- Confidential Client is not accepting third-party agency or C2C submissions for this role.
- This is an entry-level / junior position; candidates should emphasize project work and demonstrable, hands-on experience.
- No phone calls, please. Shortlisted candidates will be contacted by the recruiting team with next steps.
- Employment type: Full-time (as determined by the hiring client). Additional hiring process details will be provided to candidates who advance.
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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