Top Data & Analytics Jobs
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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The Sr. Scientist in Bioanalytical Sciences will lead the development and optimization of analytical methods for cell therapy applications. Responsibilities include designing and executing assays, overseeing tech transfers, mentoring junior staff, documenting laboratory procedures, and authoring regulatory documents to support drug product characterization.
The Senior Data Engineer at onX is responsible for creating and maintaining the data ecosystem to enhance data discoverability. Responsibilities include designing scalable data pipelines using GCP services, developing data models, optimizing data processing for performance, ensuring data quality and security, and collaborating with cross-functional teams for effective data solutions.
As a Senior Software Engineer, you will develop distributed data applications, analyze complex datasets, translate findings into actionable insights, and lead junior engineers. Your role involves collaborating with product managers and UX designers to understand requirements and improve code maintainability.
Lead the development and deployment of Generative AI-based features for Sybill's AI agents. Collaborate with product, engineering, and customer teams to enhance AI models for enterprise use. Engage with large language models to produce optimal outputs and stay updated on emerging trends.
As a Data Scientist, you will enhance contact center solutions by developing advanced NLP algorithms and models. Your role involves collaborating on business problems, building deep learning and machine learning models, and communicating technical concepts to stakeholders.
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The Senior Data Engineer at Appian will be responsible for building foundational datasets and pipelines across various business functions. They will collaborate with stakeholders to understand data needs, develop data pipelines, provide data architecture recommendations, and drive data governance standards. Preferred experience includes 7+ years in data/software engineering with expertise in ETL/ELT pipelines using cloud-based tools.
Lead efforts in developing novel approaches for biometric identification using machine learning and mathematics.
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