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Junior Data Scientist

Confidential ClientConsulting
Entry LevelFull-timeOn-Site$61,506
Fort Sam Houston, Texas
17 Hours Ago

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.

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Description

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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