Title: Sr Data Scientist
Duration: 4 months - 08/17/2026 to 12/31/2026 + possibility of extensions
ONSITE HYBRID REQUIRED
Location: Fort Worth, TX 76155
Must be willing to relocate/work onsite (2 weeks' notice from time of offer accept)
There will be 3-4 round interviews. The first one being a screening, there will be 1-2 technical/coding interviews both virtual, a final in person interview.
Minimum Qualifications Education & Prior Job Experience
- Master or PhD degree with 5+ years of experience in quantitative discipline (e.g., Data Science, Machine Learning Engineer, Computer Science, Applied Mathematics, Statistics, etc.)
- Python proficiency (production-grade coding, modularization, testing, performance tuning)
- Hands on experience with building Gen AI applications prompt engineering, classifiers, knowledge bases, RAG solutions, LLMs as judges, etc.
- Hands-on experience with ML/AI pipeline development and productionization (model deployment, orchestration, monitoring, and optimization)
- Depth of knowledge in statistical and machine learning techniques
Preferred qualifications Education & Prior Job Experience
- Experience with Azure ML, Databricks
- Proficiency in SQL and working with data
- Experience with ML lifecycle tools (e.g., MLflow, CI/CD, model monitoring)
- Practical experience designing, building and deploying machine learning models
- Domain knowledge in the airline industry
- Experience working in a consulting role
Skills, Licenses & Certifications
- Ability to effectively communicate both verbally and written with all levels within the organization
- Demonstrated motivation and aptitude for logical analysis, problem identification, and problem solving
- Ability to view data from different angles to employ feature engineering techniques to better represent models
- Ability to work on a diverse team with diverse skillsets
- 5-7 years of experience required
Top 3 Mandatory Skills and Experience:
- Proficient in Python
- Experience/knowledge on designing and implementing Gen AI applications- Hands-on experience with Machine Learning and AI pipeline build, model deployment, orchestration, monitoring, and optimization
Nice to Have Skills:
- Microsoft Dynamics
- Prompt Engineering
- Proficiency in SQL and working with data
- Experience with ML lifecycle tools (e.g., MLflow, CI/CD, model monitoring)