Top Hybrid Data & Analytics Jobs
The Production and Data Specialist will oversee cultivation processes, manage inventory and sales data accuracy, generate reports for leadership, and support sales teams in customer account management. The role involves interdisciplinary collaboration to improve data management systems and processes regarding cannabis production and sales.
The Product Data Analyst will collaborate with the product team to enhance product strategy, develop analytics tools, and provide data-driven insights. Responsibilities include platform ownership, customer-facing analytics development, product metrics expertise, and data-driven storytelling, while working cross-functionally to align data initiatives with business objectives.
The Associate Director, Process Analytics will serve as an analytical expert within the Conjugation team, providing leadership in analytical method development, validation, and optimization for biopharmaceutical processes. Responsibilities include reviewing QC methods, analyzing manufacturing data, authoring regulatory filings, and coordinating in-process testing to ensure methods meet process requirements.
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The Senior Data Scientist will work on the AI Research Team, focusing on optimizing the Kiddom platform and personalizing educational experiences using data, AI methods, and collaborating with various stakeholders to achieve business goals and improve student outcomes.
The Senior Director of Engineering and Data Science at Fluence leads software engineering and data ops teams, focusing on developing AI-based solutions and aligning initiatives with business goals. The role involves shaping architectural decisions, optimizing performance, and fostering a culture of innovation. Collaboration with executives and mentoring team members are also key responsibilities.
The Data Streaming Manager will lead the Pipeline team to build and maintain a high-volume, reactive microservices data pipeline that processes millions of events in real-time from hotels globally. Responsibilities include coaching engineers, driving technical improvements, and collaborating across teams.
The Data Streaming Manager will lead a team responsible for creating and maintaining a cloud-native, distributed stream-processing pipeline that handles millions of real-time events daily from hotels worldwide. Responsibilities include coaching engineers and driving technical improvements.
The Management Analyst will document IT requirements, perform end-user testing, manage configurations, compile reports on large data sets, and create user documentation and training. This role requires excellent communication and customer service skills, along with collaboration with various stakeholders.
The Principal Data Scientist will work with various data sources to build predictive models that enhance revenue expansion and reduce churn for enterprise software companies. They will collaborate with stakeholders to improve model accuracy, innovate on data science opportunities, and partner with engineering to ensure scalable data science infrastructures.
The Budget Analyst will support federal clients by managing and analyzing budgets, preparing financial documentation and reports, tracking expenditures, and conducting spending pattern analysis while ensuring compliance with stakeholders and government oversight.
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