1231 Data Science Manufacturing jobs in Arlington,TX

2+ years of experience in backend engineering, AI automation, or complex systems integration
Proven ability to build and maintain production-grade software with modular separation (e.g., distinct services for data parsing, logic processing, and reporting)
Strong command of at least two major languages (e.g., Python, JavaScript, Go, or Java) and experience working with SQL databases
Practical experience building for live, non-mocked environments and handling multi-turn system interactions.
Outstanding attention to detail and the ability to provide clear, high-density technical feedback on complex system behaviors
This is a 1099 contract opportunity on the Outlier.ai platform
You must be authorized to work in your country of residence

OneMain Financial

Irving, TX 75062

Bachelor's Degree (Graduate a plus) in a quantitative discipline, such as Engineering, Statistics, Economics, Data Analytics or Computer Science.
2+ years of experience in a data driven analytics environment; consumer lending preferred; Master's or PHD degrees may offset experience. 4+ years required
Advanced analytical skillset using tools such as SQL, SAS, Excel skills required; experience with multiple types of relational databases and/or querying languages is a plus such as R, Hive Python, Oracle, Unix are desired

Platinum Legal Search Group, LLC

Dallas, TX 75215

Jobot

Dallas, TX 75215

American Bath Group

Lancaster, TX 75146

Santander Holdings USA

Dallas, TX 75201

Bachelor's Degree or equivalent work experience
7+ years of experience working with statistical models, developing, and/or validating machine learning or Generative AI solutions, including rigorous testing and documentation
Quantitative or analytical professional background in Finance, Economics, Statistics, Mathematics, Engineering, or a related discipline
Experience in the financial services industry with exposure to data management, risk modeling, and regulatory compliance (e.g., BCBS 239, SR 11-7)
Demonstrated ability to operate effectively within a controlled, regulated environment with strong documentation standards and a risk-and-controls mindset