Top Remote Data & Analytics Jobs in St. Louis, MO
The Principal Data Engineer will lead the design and implementation of modern data processing platforms, develop scalable data solutions, and collaborate across teams to optimize data pipelines. They will mentor the data engineering team and create tools that drive innovation and operational excellence, focusing on the healthcare sector.
As an IS Analyst, you will advise on cybersecurity best practices, assess business needs, and provide strategic guidance. The role involves data analysis, project management, and collaboration with security partners to implement effective solutions.
The Decision Science Analyst IV will leverage data-driven methods to make recommendations, develop BI solutions, and enhance analytics for business transformation. Responsibilities include data enrichment, project collaboration, coding, and communicating insights to non-technical audiences. This senior role requires strong problem-solving and influence within teams to drive results across the organization.
As a Data Scientist at Airtable, you will partner with product teams to drive insights and identify business opportunities, manage experiments, build a data culture, and communicate findings through storytelling and visualizations.
As a Senior Tax Operations Analyst, you will support tax information reporting and compliance for equities and crypto transactions, collaborate with product and engineering teams, handle tax inquiries, implement reconciliations of data, execute reports, and develop metrics dashboards to improve operations and customer experience.
As a Data Architect, you will design solutions that align with business processes, ensuring compliance with regulatory guidelines. You will collaborate with stakeholders, lead architecture review meetings, and evaluate technology solutions. A deep understanding of AWS, Snowflake, and dbt is required, alongside effective communication and design skills.
The Senior Analyst, Third Party Risk will manage security assessments and contract reviews, improve processes, collaborate with teams, and enhance compliance certifications. They will ensure the company's security posture meets customer requirements and industry standards while maintaining effective communication across departments.
Research and develop color perception algorithms and computer vision for camera and AR applications, work on imaging technology for camera capture and augmented reality experiences, collaborate with cross-functional teams, and provide leadership for new project development.
The Data Scientist will work on custom software and machine learning solutions while contributing to alignment research. Responsibilities include managing data science projects, utilizing Python, and collaborating with various stakeholders. Candidates should have problem-solving skills, experience with machine learning APIs, and a comfort with statistical methods. Self-management and autonomous work will be key for success.
As a Data Scientist with EverBright, you will develop machine learning models, analyze data quality, and optimize VPP dispatch. You will also work with distributed computing platforms and contribute code to product development teams.
Top remote Companies in St. Louis, MO Hiring Data + Analytics Roles
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