Top Artificial Intelligence Data & Analytics Jobs

The VP, Global Head of Statistics leads statistical strategy for vaccine clinical research, providing statistical analysis, overseeing a large team, and influencing cross-functional research efforts.

The Senior Data Engineering Analyst will lead data initiatives, creating scalable models and delivering insights for G&A business functions, ensuring data integrity and collaboration across teams.

Lead analytics implementations using Google Analytics and Tag Manager for clients, providing mentorship and managing projects with a focus on enhancing clients' digital strategies.

As the Lead BI Engineer, you will build the analytical infrastructure for data-driven decision-making, design scalable data models and dashboards, implement BI tools, and ensure data quality. You'll partner with various teams to define KPIs and insights, setting the direction for future BI efforts and team growth.

Join Agentio's foundational data team to analyze behavior, model outcomes, run experiments, and build data and ML tooling to shape product decisions and improve measurement.

Develop and validate ML pipelines for long-term time series from wearable and clinical sensors. Use transfer learning from ECG models, implement DSP workflows, evaluate foundational time-series models, benchmark vs clinician-verified ground truth, and maintain reproducible code and biomarker datasets.

The Senior Financial Business Systems Analyst will lead system implementations, design technology solutions, and mentor team members while collaborating with Finance and Sales operations to optimize financial processes.

The Senior Analyst will support the personalization algorithm by conducting analyses, testing features, managing projects, and collaborating with teams to improve food recommendations for customers.

The GTM Engineer will innovate and enhance GTM processes at EliseAI by leveraging AI and automating workflows while collaborating across various teams.

The role involves market intelligence and yield modeling for memory supply, demand analysis, cost dynamics, and procurement strategy across AI platforms.