Required Skills: Data Extraction, Machine Learning, Databricks, Performance Tuning, Python, SQL, Data Visualization, Apache Spark, Computer Science, Data Science, Microsoft Power BI, Orchestration, Continuous Delivery, Conflict Resolution, Cloud Computing, Applied Mathematics, Continuous Integration, Microsoft Azure, Motivation, Optimization, Parallel Computing, Statistics, Problem-Solving, Tableau, Testing

Job Description

Minimum Qualifications Education & Prior Job Experience

Master s/PhD degree with 5+ 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

Preferred qualifications Education & Prior Job Experience
10+ 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

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

Top 3 Must Have Skills:

Nice to Have Skills and Experience:

1. Experience with Databricks / Spark-based ML pipelines
2. Proficiency in SQL and working with large-scale datasets
3. Experience with ML lifecycle tools (e.g., MLflow, CI/CD, model monitoring)