Top Data & Analytics Jobs
Seeking a highly experienced Senior Data Engineer to develop and maintain the data architecture of an AI-powered platform for clinical-stage biotech companies. Remote position with significant overlap with Los Angeles working hours.
The Senior Spectroscopy Scientist will lead research projects, develop spectroscopy techniques, analyze complex data, and collaborate with cross-functional teams. Responsibilities include designing experimental setups and mentoring junior scientists while contributing to scientific publications and staying abreast of advancements in spectroscopy.
The Research Scientist at ERG will manage projects related to oil and gas monitoring and other air sampling tasks. Responsibilities include designing and building equipment for air sampling, writing technical documents, and conducting field work up to 30% of the time. Mechanical and fabrication skills are essential, alongside knowledge of programming languages like Python, HTML, and R.
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The Senior Data Scientist will lead the development of data models and algorithms to solve business problems within the Perception team. Responsibilities include optimizing data strategies, improving scalable pipelines, deploying machine learning solutions, and presenting insights to stakeholders while staying updated on advancements in the field.
As a Research Scientist, you will develop solutions for quantum technologies within Q-CTRL's product suite, focusing on improving performance using innovative machine learning methods and quantum control techniques. Your role will include collaboration with the quantum product team to direct research goals and documenting complex solutions in accessible language.
The Lead Data Engineer at Pendulum will be responsible for developing and optimizing data infrastructure, building and maintaining ETL pipelines, managing data warehouses, ensuring data quality, collaborating with Data Science teams, and implementing monitoring solutions for data systems.
As a Data Engineer at Alloy.ai, you will build and maintain data integrations that extract, transform, and load data from different sources into a standardized format. You will write production-grade Python code to enhance the data platform, ensuring timely and accurate data for clients while collaborating across teams to improve system functionality.
As a Senior Data Engineer at Bluesight, you will design and maintain robust data architectures, facilitate effective data stewardship, and develop customer-facing data products. You'll work closely with engineering teams, product owners, and external clients to create and enhance data pipelines and governance practices, ensuring optimal purchasing decisions for hospital buyers.
As a Field Applications Scientist at ThinkCyte, you will support sales by conducting technical demonstrations, providing training, and collaborating with research and product development teams. You'll organize workshops, represent the company at scientific events, and perform application testing for new products while traveling extensively.
The Senior Data Scientist works within the DevOps Team to design and develop the Outage Management Ecosystem, incorporating predictive modeling, data integration, and analytics solutions. This role involves collaboration with business partners, maintenance of reporting applications, and ensuring system reliability. The individual will also conduct system testing and root cause analysis in a micro-service architecture on Kubernetes.
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