Top Remote Data & Analytics Jobs in San Antonio, TX

As a Machine Learning Engineer, you will develop ML solutions to enhance safety and efficiency in physical operations. You will work with cross-functional teams to build core infrastructure and services, design ML applications, and contribute to novel technology adoption.

The Data Science Manager at Garner will develop care navigation algorithms and analytics while managing a team of 4-6 data scientists and analysts. This role will involve leading data science initiatives and ensuring the success of the company’s healthcare mission.

As a Senior Data Scientist, you will develop AI/ML solutions to enhance commercial insurance processes. Key responsibilities include model development, feature engineering, performance monitoring, and collaborating with product and engineering teams. You'll leverage deep learning and NLP to create predictive models for pricing and underwriting while ensuring model robustness and interpretability.

As a Senior Staff Researcher at SoFi, you will lead complex research projects to influence product and business strategies, collaborate with cross-functional teams, and mentor junior researchers. You will communicate insights to stakeholders, develop reusable research tools, and drive a user-centric culture within the organization.

The Senior Data Scientist role at Agero focuses on leveraging statistical analyses and predictive modeling to enhance operational performance and customer satisfaction in dispatch services. This involves end-to-end project participation, from data exploration to result communication with various stakeholders.

Lead data engineer role at Wipfli focusing on the continuous advancement of a modern data lakehouse. Responsible for translating requirements into effective data models, developing in data technologies, managing project life cycle activities, achieving/maintaining proficiency in required skills, and collaborating with team members.

As a Machine Learning Engineer II on the ML Fraud team at Affirm, you will develop models to predict fraud likelihood using proprietary and third-party data. You will collaborate across teams to improve fraud detection capabilities, implement data pipelines, and create innovative solutions for emerging fraud patterns, impacting financial performance significantly.