Top Remote Data & Analytics Jobs

As an Applied Scientist, you will drive the development of Reinforcement Learning models, collaborating with interdisciplinary teams to optimize models that provide actionable insights. You'll implement innovative algorithms and communicate complex technical concepts effectively to various stakeholders.

The Data Scientist will design, build, and deploy advanced machine learning models, analyze complex datasets, implement GCP-native solutions, and ensure the quality of ML models through rigorous testing. The role involves collaborating with stakeholders and applying machine learning techniques to drive business outcomes.

The SEO Analyst will develop and implement initiatives to boost site traffic through SEO strategies, optimize content and code, and manage projects effectively. They will collaborate with team members and clients, analyze performance, and ensure high-quality content production while maintaining strong customer relationships.

The Staff Software Engineer will design and implement data processing pipelines for computer vision solutions in satellite imagery analytics, participate in the project lifecycle from development to deployment, and lead MLOps and data ETL projects. They will collaborate on technical strategies and maintain high production-quality code.

Conduct experimental studies in natural language processing and machine learning, develop dark web monitoring tools, help transition research models to production, and publish findings in top conferences. Collaborate with teammates and propose innovative ML models to enhance products.

The JDE Functional/Technical Analyst will provide advanced support and maintenance for JD Edwards E1, design and implement orchestrations to automate business processes, and integrate JDE with other systems. The role includes troubleshooting, project coordination, and training while collaborating with IT teams and end users to enhance system performance.

In this role, you will collaborate with stakeholders to leverage data for insights and systems improvement, stay updated on data science techniques, design effective experiments, and work on machine learning algorithms. You will also interact with data engineers to develop robust data pipelines and create tools that facilitate data access and visualization.