Remote Data Jobs

Experian is looking for a Data Scientist to join our Global Analytics team within Experian Software Solutions. This is an exciting opportunity for someone to work on impactful AI and machine learning projects and contribute to solutions. You will help build and support machine learning models and AI systems that power Experian's products and services. You will work remotely and report to the Senior Director of Analytics and AI.

The Senior Data Analytics Specialist will support current and future opportunities on high-priority projects for a large Federal agency. This role focuses on supporting external customers with analyzing current data and reporting needs, developing technical solutions using Power BI, implementing and testing technical reporting solutions, and supporting end users with reports.

The Data & Analytics Manager will lead the entire lifecycle of data products, from ideation and development to implementation and optimization, understanding data best practices like governance, modeling, quality, and security. They will collaborate with stakeholders to understand data requirements, define strategic roadmaps, and lead the adoption of AI in data workflows, supporting cross-functional teams and prospecting business opportunities.

Collaborate with other data scientists to build and iterate on models for personalized recommendations, targeting, and user segmentation. Lead personalization initiatives that span modeling, experimentation, and implementation to improve user experience and retention. Build and deploy machine learning models such as recommendation systems, targeting algorithms, segmentation, and ranking models.

A Survey Scientist is expected to use a combination of statistics, programming, and domain knowledge to solve problems, focus on creating the methodological backbone for our general purpose products, but also lean in on client projects. They have strong technical skills and are also creative thinkers who are always looking to innovate and deliver value to our clients. They aren’t afraid of messy data and are comfortable working in a fast paced, production-oriented environment.

We are looking for innovative and creative individuals who seize opportunities to uncover hidden drivers, impacts, and key influences to support our product, leadership and clinical teams by applying optimization and statistical methods on a variety of data. You will work closely with the clinical program and product teams to support decision-making and will dig into a wide range of strategic and clinical problems.

Lead the architecture, design, and implementation of scalable Data Lakehouse solutions on Google Cloud Platform (GCP) using BigQuery, GCS, BigLake, and Dataplex. Collaborate with customers to understand business goals, data challenges, and technical requirements. Design and implement data pipelines, establish best practices for data cataloging, and define data security and governance models. Serve as the technical lead, mentoring engineers and ensuring architectural consistency.

Model, analyze, and optimize how real AI workloads run on the Tensix architecture, shaping future hardware features and ensuring every design decision delivers measurable performance gains. This role connects architecture, software, and RTL to push the limits of efficiency and scalability across next-generation AI systems. Deeply analytical engineer with strong intuition for AI workload behavior and system-level performance bottlenecks.

Looking for a Senior Data Scientist to join our AI Team to collaborate closely with AI engineers, data engineers, and product teams to drive data-driven innovation and elevate our products to the next level, ideal for someone who combines strong technical modeling skills with business acumen and leadership in analytics initiatives.

Seeking a Data Engineer to build and evolve Jusbrasil's data pipelines and architectures. You will be responsible for designing, developing, and maintaining data ingestion, processing, and storage systems, ensuring scalability, governance, and performance in a dynamic and collaborative environment. You will work alongside Data Engineers, Analytics Engineers, Data Analysts and Product teams, helping to transform raw data into consistent and high-value analytical assets for the company