Description 5 years of experience Minimum Qualifications Education Prior Job Experience MastersPhD degree with 3 years of experience in quantitative discipline eg 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 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 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 MSPhD degree Python Machine Learning Deep Learning Nice to Have Skills Databricks Azure ML SQL TableauPowerBI Describe a great candidate that you are looking for and what skills and experience they will have Experienced data scientist with MLDL model training deployment and evaluation Advanced in Python and Databricks Good communication and collaboration Consulting background is a plus What is the team environment and structure like Centralized ML team supporting 7 business units All team members are data scientist levels from senior to principal level Team culture is friendly supportive and collaborative Focus on quality innovation and revenue impact How will the resources fit into your team The resource will embed within the centralized ML team and support active Loyalty and Marketplace projects They will independently execute model development validation and deployment tasks while collaborating with peer data scientists data engineers and product partners