Top Artificial Intelligence Data & Analytics Jobs

Deployment Strategists at Northslope Technologies solve business challenges using data-driven solutions, collaborating with clients to build and implement effective operational workflows.

The Senior Manager, Revenue Strategy will drive growth for the US SME Sales segment by implementing strategic plans, coordinating product launches, managing budgets, and collaborating with various teams to enhance sales efficiency and customer onboarding.

Lead data science projects to optimize drug development using AI. Develop models for patient selection and clinical trial evaluations while collaborating with cross-functional teams to drive insights.

Lead design and implementation of shared, reusable analytics data models and pipelines. Drive standardization, governance, observability, and CI/CD for analytics; partner with Data Science, Infrastructure, and Product to certify metrics, modernize orchestration, and integrate AI-native tooling.

The Senior Data Engineer will manage data flow and ensure accuracy, improve data engineering stacks, build and maintain analytics warehouses, and support stakeholders with data solutions while participating in system reliability on-call rotations.

The Analytics Engineer at KUBRA HQ transforms data into insights, builds automated reports and dashboards, and collaborates across teams for data-driven decision-making.

Design and implement scalable go-to-market intelligence workflows and automation. Define business requirements for reports and dashboards, partner with Product and Analytics, improve Data Cloud tool adoption, document processes, support integrations, and deliver automation-aligned pre-sales and client-facing materials.

As a Senior Data Scientist in Product Analytics, you will analyze data to guide product decisions, support product managers, and improve financial stability for users.

The Lead Data Specialist owns analytics and reporting for marketing services, delivering insights, developing dashboards, and ensuring data accuracy while collaborating with stakeholders.

As a Part Time Student in Data & Analytics, you'll utilize creative and technical skills to enhance digital product adoption, support evaluation of digital tools, and develop data science products for supply chain analytics.