Top Data & Analytics Jobs
The Principal Machine Learning Engineer will design, implement, and scale machine learning algorithms for chatbot applications, guide architectural direction, and mentor team members. The role focuses on leveraging Generative AI and NLP to create innovative solutions for customer service automation.
As an AI Engineer & Researcher at xAI, you will build end-to-end features, establish monitoring systems for data quality, drive data collection projects, and innovate methods for data generation. You will collaborate with cross-functional teams to improve the AI platform while ensuring security and scalability.
As a Senior Scientist, Bioinformatics, you will develop and maintain bioinformatics pipelines, analyze NGS data, evaluate tools for software implementation, and collaborate with project teams to innovate in RNA-seq applications.
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The Senior Scientist in I/O Discovery will design and execute CAR-T cell functional assays, perform phenotypic analysis of T cells, and engage with cross-functional teams while staying updated on advancements in cell therapies. They will handle and engineer T cells and analyze data to support the development of engineered cell therapies.
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As a Research Scientist, you'll conduct research to enhance productivity and the discovery experience for scientists, develop AI tools, collaborate with researchers, mentor early-career scientists, and publish your findings.
The Data Engineer will build robust data pipelines and scalable applications, utilizing modern data engineering technologies to support the company's mission. They will work in a fast-paced fintech environment, focusing on developing solutions and optimizing data processes.
The Environmental Scientist will conduct field investigations, assist in technical report preparation, and evaluate hazardous waste sites. Responsibilities include overseeing subconsultants, performing Phase 1 and Phase 2 Environmental Site Assessments, and compiling relevant data for investigations and remediation projects.
The Senior Analytic Methodologist will utilize over eight years of experience in data analytics and management to develop innovative analytical techniques, manage large datasets, and enhance decision-making processes within GEOINT. Responsibilities include using various software tools for data processing, identification, collection, and visualization, as well as staying updated with emerging technologies and methods.
As a Data Engineer, you will design and maintain scalable data pipelines using Java and Spark, optimize SQL queries, and implement solutions with Snowflake. You'll collaborate with teams to understand data requirements and ensure efficient data processes, and may develop visualizations with Tableau.
The Data Scientist SME will perform in-depth program analysis, assist with defining reference architectures, and identify capability gaps. Responsibilities include planning migration to the cloud, analyzing data needs, developing data storage procedures, and supporting enterprise solution design and implementation.
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