Top Data & Analytics Jobs
The Optical Scientist will design, fabricate, and test optical fibers for fiber lasers, conducting experiments and analyzing data while collaborating with teams on fiber laser components. Responsibilities include providing technical support and contributing to R&D programs and manufacturing sites.
The Scientist II at Sublime Systems will conduct research to enhance the performance of decarbonized cement. Responsibilities include developing experimental methods, performing lab tests, analyzing data, and contributing to research strategy. The role emphasizes safety and fostering a collaborative culture.
The Staff Machine Learning Engineer will develop and fine-tune machine learning models, apply statistical techniques to analyze unstructured data, utilize pre-trained language models, optimize models for production, monitor performance, and work with teams to enhance product features and solutions.
Featured Jobs
The IT Operations Analyst will oversee office support and operations, manage IT assets, lead IT projects, and provide level 2 and 3 IT support. Responsibilities include maintaining IT security measures, ensuring compliance with SOC2 and ISO 27001, and supporting special events. The role requires strong troubleshooting skills and collaboration with various teams.
As a Staff Data Scientist, you'll lead data research and analysis, develop and validate models for business objectives, collaborate on production-grade data products, and contribute to building a data science practice at Grid.
As a Senior Consultant in Data & Analytics, you will lead clients in their analytics journey, develop strategies for data preparation, create predictive models, and provide insights through visual analytics and reporting. You will also conduct interviews for gap analysis and design data flows.
As a Lead Data Engineer at Windfall, you will develop and optimize data pipelines for large datasets, collaborate with data science teams to implement machine learning models, and create data services for monitoring. Your role is pivotal in building the core data asset of the organization, emphasizing strong communication and collaboration skills.
The Senior Scientist, PSC Biology will lead a team focused on developing and implementing NGS technologies to characterize human pluripotent stem cells and assess gene editing impacts. Responsibilities include managing sequencing projects, analyzing large datasets, and collaborating across teams. Candidates should have hands-on experience in NGS, genetics, and preferably stem cell biology.
As a Data Scientist at Flip Shop, you will analyze data and user-generated content to enhance the shopping experience, collaborate with various leaders to provide strategic insights, and develop data science solutions using machine learning. You'll also track performance through KPIs and dashboards, ensuring that initiatives drive growth and engagement.
The Data Engineer Consultant at DAS42 is responsible for developing data integrations, implementing data warehouses and ETL pipelines, and optimizing clients' data environments. They work collaboratively on projects, document client data environments, and support the pre-sales process while utilizing technologies like Python and SQL alongside data visualization and cloud platforms.
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