Mondo
Job Title:
Data Scientist
AI/ML Location-Type:
Onsite (Houston, TX) Start Date Is:
ASAP Duration:
Contract Compensation Range:
$70-83/hour
Job Description: 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 strategy
Requirements: Must-Haves: Snowflake, SQL, Palantir (or similar operational AI decision platform) Strong 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 automation Nice-to-Haves: Graduate degree in a quantitative field Experience with Power BI, Dash, or Streamlit
Benefits: 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 eligibility
Data Scientist
AI/ML Location-Type:
Onsite (Houston, TX) Start Date Is:
ASAP Duration:
Contract Compensation Range:
$70-83/hour
Job Description: 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 strategy
Requirements: Must-Haves: Snowflake, SQL, Palantir (or similar operational AI decision platform) Strong 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 automation Nice-to-Haves: Graduate degree in a quantitative field Experience with Power BI, Dash, or Streamlit
Benefits: 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 eligibility