Data Scientist

Hi

• Role : Data Scientist
• Location : Fort Worth TX
• Long Term

Interview process : Virtual and F2F (Need Local only)

Description:

• 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.)
• 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
• 5-7 years of experience required
• Top 3 Mandatory Skills and Experience:
• -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
• 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)
• 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.
• What is the team environment and structure like?:
• Please share the candidates email address and the POC email address from the supplier to have the teams interview visibility.
• - 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.
• Candidate must be able to work onsite 3 days week Tuesday - Thursday; Virtual on Mondays/Fridays.
• There will be 3-4 round interviews. The first one being a screening, there will be 1-2 technical/coding interviews both virtual, a final in person interview.

Comment: The technical assessment must demonstrate candidate's skills on Python, Gen AI, and SQL

• Thanks & Regards,
• +14842823512