Sr. Data Scientist C2C contract Dallas, TX Hybrid

Tech Mirrors; Dallas (TX); Hybrid; USD 120,000 - 170,000; Full time

Job summary

Tech Mirrors in Dallas, TX is seeking a Sr. Data Scientist with 3+ years of quantitative experience and strong Python skills to advance ML models from prototype to production. The role emphasizes data extraction, cleaning, and analysis, plus deep statistical and ML knowledge.

Ideal candidates bring experience with Databricks or Spark-based pipelines, SQL and data visualization, and cloud-scale model deployment. Strong communication across teams is essential.

Qualifications

• Master’s/PhD degree with 3+ years in quantitative discipline (Data Science, ML, CS, Applied Math, or Statistics)
• Experience with Python programming language
• Practical experience with data extraction, cleaning, and analysis
• Depth of knowledge in statistical and machine learning techniques
• 8+ years in a technical environment (preferred)
• Experience with SQL and data visualization (Tableau, PowerBI)
• Designing, building and deploying ML models
• Cloud platforms and parallel processing to scale model development/deployment (Databricks, Azure)
• Domain knowledge in the airline industry
• Consulting experience
• Strong communication and ability to work cross-functionally
• Hands-on ML pipeline development and productionization
• End-to-end ML lifecycle including deployment and monitoring
• Ability to improve existing codebases and collaborate effectively

Responsibilities

• Take ML models from prototype to production with Python and Databricks
• Optimize, debug, and integrate code across systems
• Understand and implement end-to-end ML lifecycle including deployment and monitoring
• Work with existing codebases and iteratively improve models
• Collaborate across diverse teams to deliver analytics solutions

Skills

Python programming

Data extraction

Data cleaning

Feature engineering

Statistical & ML techniques

Communication

Problem solving

Team collaboration

Education

Master’s/PhD in Data Science/CS/Statistics or related

Tools

Databricks

Spark

Tableau

PowerBI

Job description

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.