Pay Rate Range: $47.29 - 49.29/hr.
Job Descriprion:
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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
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