Top Data & Analytics Jobs in Oklahoma City, OK

As a Data Architect, you will design solutions that align with business processes, ensuring compliance with regulatory guidelines. You will collaborate with stakeholders, lead architecture review meetings, and evaluate technology solutions. A deep understanding of AWS, Snowflake, and dbt is required, alongside effective communication and design skills.

The Senior Analyst, Threat Management is responsible for monitoring and analyzing threats, conducting vulnerability assessments, collaborating with teams for security integration, and improving overall security processes. They will also prepare risk analyses, reports, and assist in security training initiatives.

Research and develop color perception algorithms and computer vision for camera and AR applications, work on imaging technology for camera capture and augmented reality experiences, collaborate with cross-functional teams, and provide leadership for new project development.

As a Data Scientist with EverBright, you will develop machine learning models, analyze data quality, and optimize VPP dispatch. You will also work with distributed computing platforms and contribute code to product development teams.

The Senior Analyst will lead research study design, apply advanced statistical methods for survey and data analysis, mentor junior analysts, consult with clients on analytic solutions, and support business development initiatives. Responsibilities include project management, effective communication of findings, and overseeing data collection and evaluation efforts.

As a Senior Data Engineer at Hims & Hers, you will design and develop scalable data pipelines, optimize performance and data quality, and build infrastructure for data extraction and loading. You will collaborate with various teams to ensure data reliability, support analytics tools, and help deploy machine learning models while maintaining best practices in data management and compliance.

As a Senior Data Engineer, you will develop and maintain data pipelines using tools like Databricks and Airflow, write maintainable Python code, and design solutions with Kubernetes. You'll collaborate with Data Science teams to build scalable applications and manage data from diverse sources while ensuring effective communication across teams.