Top Remote Data & Analytics Jobs in Dallas, TX

As a Staff LLM Data Scientist, you will design and fine-tune LLMs, build advanced Retrieval Augmented Generation pipelines, implement evaluation frameworks, and deploy models into production. A strong focus on generative AI applications in investment is needed, alongside collaboration with product and engineering teams.

The BI Strategist will manage and execute reporting and analysis projects, build and optimize dashboards in visualization platforms, and analyze large datasets to derive insights for clients. The role requires effective communication with clients and the ability to present findings clearly.

The Director of Data & Analytics will lead client projects by creating and implementing data strategies and automation processes, utilizing tools such as Python and Alteryx. Responsibilities include managing project workflows, communicating objectives to stakeholders, and delivering data-driven insights through dashboards and predictive analytics. Strong financial and analytical skills are essential for transforming client needs into actionable solutions.

The Senior Database Administrator is responsible for managing the ADABAS Database environment, including installation, customization, maintenance, performance tuning, security management, disaster recovery planning, and the implementation of new technologies. They collaborate with development teams to optimize database queries and support both structured and unstructured data management.

As a Junior Pricing Analyst at Arbol, you will quantify and price climate and weather risks using proprietary frameworks, perform data cleaning and exploratory analysis, and communicate pricing details to team members and stakeholders.

The Salesforce Administrator will manage and maintain the integrity of Salesforce data, performing audits to correct errors and ensure consistency. Responsibilities include implementing data validation rules, archiving outdated data, managing storage limits, and creating customized reports for business insights.

The Data Scientist will design and implement advanced machine learning models for real-time anomaly detection, automate data discovery from a global honeypot network, and enhance product features through AI/ML techniques. Collaboration with cross-functional teams and direct customer engagement will be essential.