Top Remote Senior Level Data & Analytics Jobs

The Senior Compensation Analyst will analyze, design, implement, and administer competitive compensation programs. Responsibilities include consultation on best practices, conducting market research, preparing reports, and ensuring compliance with regulations. The role provides support to HR professionals and requires collaboration on compensation programs.

As a Senior Data Engineer, you will design and optimize data infrastructure, collaborate with teams to ensure data flow across marketing technology platforms, and influence strategy and technical roadmaps. You will work on innovative projects using cutting-edge technologies.

As a Senior Data Engineer, you will be responsible for designing and implementing data solutions, managing ETL processes, and optimizing data warehousing strategies to support business analysis and reporting. You will collaborate with cross-functional teams to ensure data integrity and availability, leveraging Big Data technologies and AWS services to enhance data processing capabilities.

The Senior MLOPs Engineer will architect and optimize ML inference platforms, handling all aspects of development and operations. They will work with cross-functional teams to achieve business objectives through engineering solutions, mentor team members, and ensure the effective deployment of models via scalable inference systems.

The Senior Analytics Engineer designs and optimizes data systems using Snowflake and dbt. Responsibilities include collaborating with sales, marketing, and finance analytics teams, developing data models, overseeing dbt projects, analyzing product performance, building financial models, and maintaining data quality and governance.

The Senior Director, Business Development role focuses on leading relationships with strategic accounts in the Data and AI vertical, ensuring service execution exceeds client expectations, identifying new business opportunities, and collaborating with teams to pitch services to clients.

The Senior Data Scientist will architect, design, and implement generative AI models for ASR and TTS applications, leveraging LLMs. Responsibilities include training and optimizing models, collaborating with cross-functional teams, and innovating existing models while staying updated on the latest advancements in generative AI.