POC: Sam Chavez
ATTENTION ALL SUPPLIERS!!!
***AA PROJECT***
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Job Title: Technical Test Lead | data science | Machine Learning
Work Location & Reporting Address: Fort Worth, TX 76155 (Onsite-Hybrid. Local candidates only)
Contract duration: 6
MAX VENDOR ####: #### per hour max
Target Start Date: 23 Jul 2026
Does this position require Visa independent candidates only? Yes
Must Have Skills:
⦁ Master’s/PhD degree with 3+ years of experience in quantitative discipline (e.g., Data Science, Machine Learning Engineer, Computer Science, Applied Mathematics, Statistics, etc.)
⦁ Experience with Python programming language
⦁ Practical experience with data extraction, cleaning, and analysis
⦁ Depth of knowledge in statistical and machine learning techniques
Nice to Have Skills:
⦁ 8+ years of experience in a technical professional environment, in addition to the minimum requirements
⦁ Experience with SQL and data visualization (Tableau, PowerBI)
⦁ Practical experience designing, building and deploying machine learning models
⦁ Experience in using cloud platforms and parallel processing to scale model development/ deployment (Databricks, Azure)
⦁ Domain knowledge in the airline industry
⦁ Experience working in a consulting role
Detailed Job Description:
Top 3 Must Have Skills:
⦁ MS or PhD in Data Science, Computer Science, Statistics, or related field
⦁ Strong Python expertise (production-grade coding, modularization, testing, performance tuning)
⦁ Hands-on experience with Machine Learning pipeline development and productionization (model deployment, orchestration, monitoring, and optimization)
Nice to Have Skills and Experience:
⦁ Experience with Databricks / Spark-based ML pipelines
⦁ Proficiency in SQL and working with large-scale datasets
⦁ Experience with ML lifecycle tools (e.g., MLflow, CI/CD, model monitoring)
Describe a great candidate that you are looking for and what skills and experience they will have:
⦁ Has proven experience taking ML models from prototype to production with Python and Databricks.
⦁ Demonstrates strong skills in code optimization, debugging, and system integration.
⦁ Understands the end-to-end ML lifecycle, including deployment and monitoring.
⦁ Is comfortable working with existing codebases and improving them, rather than only building new models.
⦁ Clear communication and effective collaboration.
What is the team environment and structure like?:
⦁ Centralized Machine Learning team supporting 7 business units
⦁ Team consists of Senior to Principal-level Data Scientists
⦁ Collaborative, supportive, and high-performing culture
⦁ Strong focus on quality, innovation, scalability, and measurable revenue impact
How will the resource(s) fit into your team?:
⦁ The resource will embed within the centralized ML team and support the Customer Intelligence CBI productionization initiative.
⦁ Take ownership of productionizing ML pipelines, including code refactoring and system optimization
⦁ Collaborate closely with data scientists, data engineers, and product partners
⦁ Accelerate delivery of scalable, production-ready ML solutions
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
Minimum Years of Experience:
⦁ 3+ years
Certifications Needed:
Top 3 responsibilities you would expect the Subcon to shoulder and execute:
Interview Process (Is face to face required?)
⦁ Virtual and Face-to-face
Any additional information you would like to share about the project specs/nature of work:
Project Code: Child Code for DNA UAL EDW Support at HY