Top Artificial Intelligence Data & Analytics Jobs

The role involves developing, productionizing, and optimizing trading systems using C++ and Python, focusing on high-frequency trading and market microstructure.

The Senior Data Engineer will design and manage data pipelines for massive datasets, ensuring quality, cost management, and effective data operations. Responsibilities include overseeing data flows, monitoring data quality, and managing vendor partnerships.

As a Data Scientist, you will analyze customer behavior to drive growth and retention, build attribution models, and automate reporting. Responsibilities include working with large datasets and cross-functional teams to synthesize customer signals into actionable insights.

As a Machine Learning Infrastructure Engineer, you will build and maintain infrastructure for ML model training, optimize deployment, collaborate across teams, and improve internal tools for ML workflows.

The Sales Planning Analyst Intern supports the Revenue Operations team by analyzing sales data, assisting in planning processes, and improving data accuracy and operational efficiency.

As a Jr. Sales Commission Analyst, you will calculate commission payments, prepare statements, resolve discrepancies, and ensure compliance with SOX controls while maintaining data accuracy.

Entefy seeks a Senior Data Scientist with a Master's or PhD in a relevant field, and 3+ years of experience. Responsibilities include delivering advanced analytics, leading teams, and extracting insights from datasets.

The Staff Product Analytics Engineer will enhance product data usage across teams by owning data infrastructure, creating tools for self-service data, and ensuring data-driven decisions. Responsibilities include collaborating with various teams to improve data insights and maintain data pipelines.

This role involves owning product analytics from end-to-end, including event taxonomy, instrumentation, dashboard design, and proactive insight delivery for the product team at XBOW. You'll improve frontend and server-side tracking, ensure data quality, and enable self-service analysis for stakeholders while working across the full stack. The focus is on actionable insights rather than vanity metrics.

The Internal Auditor will validate compliance evidence, conduct internal audits, and communicate audit insights, focusing on various compliance frameworks.