Top Remote Data & Analytics Jobs in Tulsa, OK

The Staff Data Scientist will collect, analyze, and optimize big data while contributing to the organization's Big Data Strategy. Responsibilities include building predictive models, creating visualization dashboards, and collaborating with cross-functional teams to drive data-driven solutions. The role emphasizes continuous learning and innovation in data science methodologies.

As an Applied Data Scientist, Analytics Engineer, you will execute client engagements, focusing on data modeling, building predictive models, and deriving insights from analyses. You will collaborate with cross-functional teams to create scalable solutions and maintain proficiency in statistical techniques and programming languages. This role involves working with large datasets and requires strong communication skills.

As a Senior Data Scientist for JD Power, you'll lead complex data science projects, focusing on feature engineering and model building. You will leverage advanced AI/ML techniques and tools like SQL, Python, and AWS SageMaker to extract insights and impact products in the automotive industry. Your role will also involve collaborating with teams to develop analytics for new products and creating visual reports for clients.

As a Data Analyst at Federato, you will design and maintain dashboards, lead the development of analytics products, collaborate with product teams to integrate analytics into existing workflows, and work with the data science team to monitor ML model performance. Strong dashboard development and statistical analysis skills are essential.

The Solutions Associate will develop and deliver data-driven insights products for clients. They will collaborate with marketing, sales, and data product teams to provide actionable insights and recommendations.

As a Data Architect, you'll design data-intensive applications in Azure, lead data architecture projects, mentor team members, and craft enterprise data strategies while implementing data governance and security measures.

As an Analytics Engineer, you will build and manage reporting data models and infrastructure using Snowflake, create reports using Looker, and support data integration with a focus on minimizing development cycles. You will also train team members on data models and maintain relevant documentation.