Top Hybrid Data & Analytics Jobs
The Windchill Configuration Analyst at Bose Professional will support Product Development in managing product data and change management processes. Responsibilities include creating new data, analyzing product design changes, managing approvals, training team members on Windchill+, and improving data processes.
As a Data Scientist at Feedzai, you'll manage and analyze client data, utilizing programming skills in Python, Java, and Scala to preprocess and clean data. You'll develop and tune machine learning models, collaborate with clients and internal teams, and communicate findings to enhance risk management solutions.
As an Analytics Engineer at Airbyte, you will build and maintain data pipelines, optimize data models, and provide insights through analysis and reporting. You will collaborate with product teams, ensuring data efficacy to drive product improvements and strategic decisions.
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As a Software Engineer, Data, you will build core data infrastructure for acquiring, preprocessing, cleaning, and labeling multimodal datasets for model training, enhancing the quality of the models. You'll be leading teams, managing projects, and working closely with data vendors to improve video understanding systems.
As a Senior Analyst in Compliance, you'll support audits, manage regulatory remediation projects, engage with stakeholders, and identify process improvements. This role requires effective communication and an ability to deliver on compliance priorities in the financial services industry.
Seeking an experienced Senior Data Engineer to lead the design, development, and management of scalable data pipelines and architecture for a cell therapy manufacturing platform. Responsibilities include data pipeline implementation, collaboration with cross-functional teams, data preprocessing for machine learning models, and documentation of processes. Requirements include a Bachelor's or Master's degree in Computer Science, 6+ years of data engineering experience, proficiency in Azure services, programming skills in Python or C#, and experience in data visualization tools and data governance.
The Senior Lead Data Analytics Platform Engineer will design and optimize a high-performance data analytics platform, focusing on scalable data systems and cloud-native architectures. Responsibilities include leading teams, optimizing data pipelines, ensuring data quality, implementing best practices in data governance, and driving innovation in data engineering processes.
The Research Scientist will investigate fundamental questions of intelligence and knowledge to develop software with human-level intelligence. Responsibilities include creating research questions, coordinating experiments, and mentoring research engineers, while collaborating with internal and external teams.
As a Senior Data Engineer at Cruise, you will architect & automate end-to-end data processing and management on Google Cloud Platform. Collaborate with XFN partners, build data pipelines, and mentor junior team members. Requirements include experience with Big Data Systems, Data Lakes/Warehouse/Lakehouse, ETL/ELT pipelines, Python/Java/C, Data Modeling, and SQL programming.
Provide programmatic and acquisition support to the Foreign Military Sales Program Manager, coordinate meetings and briefings, develop tracking spreadsheets, oversee team workflow processes, and maintain program schedules. Requires strong organizational and communication skills, as well as attention to detail.
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