Junior Data Scientist
The Junior Data Scientist role involves exploring, cleaning, analyzing, and visualizing both structured and unstructured data to uncover insights. The position requires applying machine learning, artificial intelligence, and natural language processing techniques to develop predictive models and quantitative analyses, supporting data-driven decision-making within the organization.
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, Technology, Information and Internet.
Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.
What You’ll Do
Confidential Client is looking for a Junior Data Scientist to join their team in San Antonio, TX. In this role you will work with data across the stack to produce actionable insights and models that support product and business decisions.
- Explore, clean, analyze, visualize, and mine structured and unstructured data to uncover insights
- Use statistical and general-purpose programming languages (e.g., Python, R) to analyze data
- Build and validate predictive models, and translate model results into business recommendations
- Apply machine learning, natural language processing (NLP), text mining, or AI techniques where appropriate
- Collaborate with engineering and product teams to help operationalize models and analyses
- Communicate findings clearly to both technical and non-technical stakeholders
Qualifications
- Bachelor’s degree in a quantitative field (e.g., Statistics, Computer Science, Mathematics, Engineering) or equivalent practical experience
- Experience with data exploration, cleaning, analysis, visualization, or mining
- Proficiency in statistical and general-purpose programming languages for data analysis (Python, R, SQL)
- Familiarity with machine learning concepts, model evaluation, and feature engineering
- Experience working with both structured and unstructured data sources
- Strong communication skills and a collaborative mindset
Preferred (not required):
- Experience with NLP/text mining libraries (spaCy, NLTK, Hugging Face)
- Practical exposure to model deployment or MLOps basics
- Prior internship or early-career experience in a data science role
What We Offer
- Competitive annual salary (range listed below)
- Comprehensive benefits package (health, life, disability, retirement) and work-life programs
- Professional development and tuition assistance opportunities
- Supportive team environment with opportunities to grow technically and professionally
Salary (as provided by the client): $61,900 — $141,000 per year.
Location & Work Arrangement
Location: San Antonio, TX (San Antonio, Texas metropolitan area). This position is telecommute-eligible — remote work may be possible per the client’s policy; candidates should be able to work effectively with a distributed team and be located within the U.S. unless otherwise specified.
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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