Top Remote Entry Level Data Science Jobs in Detroit, MI

The EDI Implementation Analyst II at Availity is responsible for setting up, installing, and managing technical systems for clients, including data mapping and training. They test system functionalities and collaborate with product teams for improvements, focusing on moderate to complex implementations. The role includes managing relationships with payers and vendors and creating necessary documentation for integration objectives.

Mentors provide technical support to students by answering queries, reviewing project submissions, and offering personalized feedback while ensuring original work. They maintain a quick response and review time to foster a supportive learning environment.

The Multilingual Data Specialist at Dialpad will focus on enhancing Ai features for transcription and sentiment analysis in German and French. Responsibilities include data collection for ASR and NLP, providing linguistic expertise, designing workflows for data annotation, training annotators, ensuring data quality, and collaborating with the data science team throughout the project lifecycle.

As a Data Scientist at Zelus Analytics, you will perform data modeling and quantitative analysis, develop and validate statistical models, collaborate with engineering for model implementation, and support research projects aimed at enhancing player and team performance.

The Performance Science Data Engineer role involves utilizing data science techniques to enhance live entertainment experiences, focusing on analyzing performance metrics and improving overall event execution. The position may collaborate cross-functionally to drive data-driven decisions and optimize audience engagement.

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.

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.