Top Remote Data & Analytics Jobs
As a Data Science Co-op at Jellyfish, you will help develop algorithms, create machine learning models, and analyze data to provide insights for engineering teams. You will collaborate with customers and contribute to marketing efforts while exploring applied mathematics and machine learning.
As a Data and Analytics Staff Consultant, you will collaborate on consulting projects, author project documents, manage your time efficiently, and support clients with training and knowledge transfer. You will also assist in project scope prioritization and adherence to delivery models while refining business and technical requirements.
The AI Center Technical Manager will lead a team of ML engineers, focusing on AI model deployment and operationalization. Responsibilities include developing frameworks for AI operations, overseeing the deployment of ML solutions, ensuring code quality through DevSecOps, and collaborating with data engineers and scientists. The role requires hands-on coding and leadership to foster team growth and innovative AI practices.
Featured Jobs
As a Staff Applied Scientist at Samsara, you will lead the design and implementation of AI product initiatives while working with petabyte-scale data. Your role involves developing both tactical and strategic AI solutions, collaborating across business units, and staying updated with industry research.
The Staff Machine Learning Engineer will lead the Conversational AI team at Square, focusing on designing and optimizing machine learning solutions across products. Responsibilities include driving ML projects from inception to production, collaborating with various stakeholders, and providing mentorship to team members.
The AI & GenAI Data Scientist-Manager at PwC leads teams in developing AI solutions and analytics, ensuring project success and team development. Responsibilities include managing client needs, documenting business processes, designing AI architectures, and overseeing data processing for AI applications.
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As a Senior Machine Learning Engineer at Wasabi, you will develop and refine computer vision algorithms and NLP models while leading AI advancements in a team-oriented environment. Responsibilities include collaborating across teams, optimizing machine learning models, and ensuring reliable implementation and maintenance of AI systems.
As a Senior Machine Learning Engineer in the Banking team at Cash App, you will develop and maintain machine learning systems to combat fraud in banking products. Your responsibilities will include designing ML pipelines, creating training platforms for models, and applying best practices to enhance ML solutions.
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Senior Data Scientist role at Square focused on leveraging data science techniques to improve incremental revenue generation. Responsibilities include understanding data ecosystem, supporting revenue forecasting models, partnering with ML engineers, driving insights with analytics, and mentoring team members.
As a Senior Machine Learning Engineer at TrueML, you'll architect and implement ML infrastructure, develop production-grade ML pipelines, and maintain systems for real-time and batch decision-making. You'll collaborate with data engineers and data scientists to scale algorithms and ensure robust deployment of machine learning models.
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