Data Scientist

• ML/AI team supporting Contact Centers and Digital Customer Experience
• Will collaborate with several team members
• Collaborative, supportive, and high-performing culture
• Strong focus on quality, innovation, scalability, and measurable revenue impact

How will the resource fit into your team?:

• The resource will be embedded within the team and support the Service Recovery Modernization initiative.
• Take ownership of data preparation, data pipelines, design, test, and deployment of ML and Gen AI applications.
• Collaborate closely with data scientists, data engineers, and product partners.
• Accelerate delivery of scalable, production-ready AI solutions.

• Proficient in Python
• Experience/knowledge on designing and implementing Gen AI applications- Hands-on experience with Machine Learning and AI pipeline build, model deployment, orchestration, monitoring, and optimization.
• Experience in Operational research environment is mandatory.

Nice to Have Skills:

• Microsoft Dynamics
• Prompt Engineering
• Proficiency in SQL and working with data
• Experience with ML lifecycle tools (e.g., MLflow, CI/CD, model monitoring), * 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.)
• 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

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

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
• 7 years of experience required

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.