Data Scientist

Title: Sr Data Scientist
Location: Fort Worth, TX, 76155
Duration: 18 Weeks - 08/24/2026 - 12/31/2026

Work Schedule & Interview Process

Candidate must be able to work onsite 3 days a week Tuesday - Thursday; Virtual on Mondays/Fridays

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

Job Description:

The technical assessment must demonstrate candidate's skills on Python, Gen AI, and SQL.

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

Experience Required: 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)

Ideal Candidate Profile

• Has experience with LLMs and Agentic AI
• Has experience building customer facing Gen AI applications; awareness on guardrails, privacy, cybersecurity concerns
• Has proven experience taking ML models from prototype to production with Python and Azure ML; containerize where needed
• Demonstrated strong skills in code optimization, debugging, and system integration
• Understands end-to-end ML lifecycle, including deployment and monitoring
• Is comfortable working with existing codebases and improving them, as well as building new ones from scratch. Clear communication and effective collaboration