Top Remote Data & Analytics Jobs in Minneapolis, MN
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.
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The Senior Revenue Cycle Operations Analyst ensures cash integrity for healthcare services, oversees accounts receivable accuracy, manages payment posting and audits, develops procedures, and collaborates with the Finance team and external vendors to optimize revenue cycle operations.
The Head of Data will lead data-driven decision-making, oversee product data science and analytics, and collaborate closely with data engineers and scientists to enhance monetization, engagement, and retention. This role emphasizes hands-on involvement in problem-solving within a modern data stack, ensuring a world-class learning experience for customers.
As a Data Engineer at Archive, you will build data pipelines, develop AI use cases, architect data infrastructure, and improve reporting practices. You will work with large datasets and collaborate with various teams to solve complex problems and enhance product metrics.
The Senior Data Analyst will develop reports and data insights for Omada Health, focusing on app engagement, clinical outcomes, and data quality. Responsibilities include creating Tableau dashboards, conducting ad-hoc analysis, collaborating with various teams, and defining operational processes to enhance analytics and reporting capabilities.
NewRocket is seeking passionate individuals to join their diverse team and contribute to the ServiceNow ecosystem. The role focuses on collaboration, innovation, and creating meaningful experiences for both employees and clients.
As a Python Data Engineer, you'll build and maintain data ingestion and streaming infrastructure, evolve web crawling systems, and create ETL pipelines connecting to APIs and datasets while collaborating with global engineering teams.
The GCP Data Engineer will design and maintain large-scale data infrastructure, migrate data from Teradata to GCP, develop data pipelines, and optimize data processing for analytics and applications. Responsibilities include collaborating with teams, ensuring data quality, implementing security measures, and documenting processes.
The Senior Applied AI Scientist will drive research and development in NLP, TTS, and computer vision, mentoring engineers and managing projects. The role involves implementing cutting-edge technologies and supporting the growth of the AI team to deliver high-quality outputs for Speechify's services.
The Senior Data Scientist will analyze complex data, build and deploy machine learning models, write Python code for data analysis, collaborate with teams, and provide feedback on data analyses. They will work in a remote, collaborative culture focused on delivering insights and product improvements.
Top Remote Companies in Minneapolis, MN Hiring Data + Analytics Roles
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