Robotics Technologies is hiring a Senior Data Scientist to join a centralized Machine Learning team. This role is focused on moving machine learning work from prototype to production, with an emphasis on production-grade Python and scalable solutions for Customer Intelligence CBI productionization.
Based in Fort Worth, TX, this onsite position supports end-to-end model and pipeline development, deployment, and ongoing monitoring in cloud or Databricks environments.
What you’ll do
- Develop, refactor, test, and optimize production-quality Python for machine learning applications.
- Design, build, deploy, and maintain machine learning models and pipelines.
- Productionize ML workflows, including model deployment, orchestration, monitoring, optimization, and troubleshooting.
- Extract, clean, transform, and analyze large datasets to support business and customer intelligence initiatives.
- Apply statistical methods, machine learning techniques, and feature engineering to improve model performance.
- Partner with data scientists, data engineers, product partners, and business stakeholders to deliver scalable ML solutions.
- Improve existing codebases, pipelines, and system integrations for reliability, maintainability, and performance.
- Debug technical issues and perform performance tuning across the ML lifecycle.
- Use cloud platforms and parallel-processing technologies to scale model development and deployment.
- Document technical solutions and communicate findings to both technical and non-technical audiences.
- Support quality, innovation, scalability, and measurable business or revenue impact across the organization.
Required qualifications
- Master’s or PhD degree in Data Science, Computer Science, Statistics, Applied Mathematics, Machine Learning, or a related quantitative field.
- 5+ years of relevant professional experience.
- Strong hands-on experience with Python.
- Experience writing modular, testable, maintainable, production-grade code.
- Practical experience with data extraction, cleaning, transformation, and analysis.
- Strong understanding of statistical and machine learning techniques.
- Hands-on experience developing and productionizing machine learning pipelines.
Technologies
- Python, Databricks, Spark, SQL, MLflow, CI/CD
Preferred qualifications
- 10+ years of experience in a technical professional environment.
- Experience with Databricks and Spark-based machine learning pipelines.
- Experience deploying machine learning models to production environments.
- Experience with ML orchestration, monitoring, and optimization.
- Knowledge of SQL and experience working with large-scale datasets.
- Experience with ML lifecycle tools such as MLflow, CI/CD pipelines, and model-monitoring platforms.
- Experience with Azure or other cloud platforms.
- Experience with parallel processing and distributed computing.
- Experience creating dashboards or data visualizations using Tableau or Power BI.
- Airline or transportation industry experience.
Work authorization
- US Citizen
- Green Card
- OPT-EAD
- CPT
- H-1B
- H4-EAD
- Other
Compensation: USD 79 - 79 per hourly.