Job Description

Seeking a Senior Data Scientist with 10+ years of experience and a Master's or PhD in a quantitative field. The ideal candidate will have strong Python expertise, hands-on experience building and deploying machine learning pipelines, and a solid foundation in statistical and ML techniques. Experience with Databricks, SQL, cloud platforms, and large-scale data processing is highly preferred, with airline industry experience being a plus.

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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.)

Experience in Operations research is mandatory

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

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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

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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

5-7 years of experience required

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Describe a great candidate that you are looking for and what skills and experience they will have:

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.