Sr Data Scientist

Xforia Global Talent & Technology Solutions; United States; On-site; USD 150,000 - 210,000; Full time

Job summary

Xforia Global Talent & Technology Solutions is seeking a senior data science engineer to lead Gen AI projects in production environments. The role demands deep expertise in Python, ML lifecycles, and deploying AI systems at scale.

You will design, implement, and optimize end-to-end ML pipelines while collaborating with cross-functional teams across the United States. Ideal candidates bring 8–10 years of experience in quantitative roles, strong communication, and hands-on skills in Azure ML,

Qualifications

• Master or PhD in quantitative discipline with 5+ years of experience.
• Proficient in production-grade Python coding, modularization, testing, performance tuning.
• Hands-on experience building Gen AI applications (prompt engineering, classifiers, knowledge bases, RAG, LLMs).
• Experience with ML/AI pipeline development and productization (model deployment, orchestration, monitoring, optimization).
• Strong knowledge of statistical and machine learning techniques.

Skills

Python

Gen AI apps

ML/AI pipelines

Statistical methods

Communication

End-to-end ML lifecycle

Code optimization

Education

Master or PhD in quantitative field

Tools

Azure ML

Databricks

MLflow

CI/CD

Model monitoring

Job 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 product ionization (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

8-10 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.