Top Remote Data & Analytics Jobs

The Qualitative Research and Survey Analyst will design and implement advanced survey instruments, utilizing AI methodologies to enhance survey validity. They will integrate survey data with institutional sources, conduct focus groups and interviews, and ensure compliance with data privacy policies. The role requires independent project management and collaboration with university departments.

The Procurement Analyst will manage the raw material approval process, oversee contract usage for ingredients, organize raw material items within the ERP, and support the sustainability program while adapting to organizational changes and communicating updates to stakeholders.

As a Senior Data Scientist at IHI Terrasun, you will collaborate with design and engineering teams, research statistical models for data analysis, implement analytics for insights, automate data collection, and communicate complex data effectively. Your role is crucial in supporting innovative data-driven business processes.

As a Staff Data Engineer at Twilio, you will design, build, and maintain data pipelines, optimize data warehouse structures, and collaborate with cross-functional teams to leverage data for business strategies. You will also develop machine learning infrastructure and ensure efficient data processing and analysis.

As the Lead Data Scientist, you will establish a data science practice, collaborate with various teams to optimize systems, leverage data for strategic decisions, and utilize advanced analytics techniques to derive insights that drive business outcomes.

The Salesforce Administrator will ensure the accuracy and organization of Salesforce data, perform audits, implement data validation, and create reports and dashboards to support business insights and decision-making.

As a Staff LLM Data Scientist, you will design and fine-tune LLMs, build advanced Retrieval Augmented Generation pipelines, implement evaluation frameworks, and deploy models into production. A strong focus on generative AI applications in investment is needed, alongside collaboration with product and engineering teams.