Sr. Data Scientist C2C contract Dallas, TX Hybrid

Sr. Data Scientist

Location: Dallas, TX Hybrid

Description

3+ years of experience.

Minimum Qualifications – Education & Prior Job Experience

• 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 technique

Preferred qualifications – Education & Prior Job Experience

• 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

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

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.