Data Scientist
mondoHouston (TX)
About the role
A Data Scientist supporting AI/ML and LLM-driven solutions to build, deploy, and optimize advanced models for operational decision-making.
Day-to-Day Responsibilities:
Design, train, and fine-tune machine learning, deep learning, and LLM models
Collect, process, and analyze structured/unstructured datasets
Engineer features to improve predictive model performance
Develop NLP and LLM-based applications (prompt engineering, fine-tuning, inference)
Deploy and monitor ML models using MLOps best practices
Build dashboards and presentations to communicate insights
Collaborate with stakeholders to translate data insights into business strategyRequirements
Must-HavesStrong AI/ML and LLM foundation
Experience with NLP, deep learning, and predictive modeling
Python proficiency and experience with PyTorch, TensorFlow, Hugging Face
Strong SQL and data engineering skills
AWS experience (SageMaker, S3, Redshift) and ML pipeline automationNice-to-HavesExperience with Power BI, Dash, or Streamlit
This role is eligible to enroll in both Mondo's health insurance plan and retirement plan. Mondo defers to the applicable State or local law for paid sick leave eligibilitySeniority level
Mid-Senior level
Employment type
Contract
Job function
Information Technology
Industries
Staffing and Recruiting
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
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