Top Remote Senior Level Data & Analytics Jobs in Houston, TX

The Staff Machine Learning Engineer will develop and fine-tune machine learning models, apply statistical techniques to analyze unstructured data, utilize pre-trained language models, optimize models for production, monitor performance, and work with teams to enhance product features and solutions.

The Data Conversion Specialist will oversee data migration from legacy systems to LINQ’s ERP platform. Responsibilities include leading projects, ensuring accurate data transfer, validating data integrity, and providing post-conversion support. The role demands strong technical expertise and project management skills.

The Senior Test Analyst will design and deliver customer experience solutions, manage testing efforts based on design documents, write and execute test cases, create test data, monitor test progress, and support User Acceptance Testing while assisting clients in understanding the scope of testing.

As a Staff Data Scientist, you will develop statistical and machine learning models to enhance the operations platform. Responsibilities include leveraging data to solve problems, collaborating across teams, implementing predictive models, and mentoring teammates. Excellent communication and technical skills are essential, along with a strong background in Python and statistical software.

As an Engineering Manager in the Machine Learning team, you will lead a group of data scientists and ML engineers to build innovative credit insights products. This role includes overseeing the development of machine learning models for credit risk assessment, defining strategic initiatives, and collaborating with stakeholders to enhance product delivery.

The Senior Information Security Analyst II will develop and execute a global compliance strategy, ensuring adherence to regulations like PCI, SOC 2, and GDPR. Responsibilities include leading audits, maintaining security policies, managing compliance projects, and addressing customer security concerns in collaboration with teams like Engineering and Sales.

The role involves architecting, building, and maintaining reliable data pipelines, developing data applications in Python and SQL, ensuring data quality, and optimizing software engineering techniques while collaborating with IT and business teams.