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We already work with 1700+ customers in the tech startup and e-commerce spaces and are expanding rapidly, and the data team has a pivotal role in driving Pilot’s growth. Build high-quality DBT pipelines to automate data analysis and empower scalable analytics.
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Operate NOAA’s specialized aircraft, manage research and survey vessels, and support data collection missions, including fisheries surveys, atmospheric sampling, and coastal mapping. Participate in collecting and analyzing environmental data across various NOAA missions.
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Proven passionate approach to work cross-functionally with multiple departments ( i.e. business operations, game design, data, publishing) to drive towards consensus and optimal results for what is best for the game.
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Maintaining and updating supplier information such as qualifications, delivery times, product ranges, etc. Update old fiber optics systems for improvements, safety, and quality control. CA/ACCA are highly encouraged to apply.
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Preparation of analytical material for internal doability assessment and for external investors – cash flow models, information docket, etc. The team works across sectors to structure & procure debt financing solutions across situations likevanilla balance sheet funding, project financing, government financing, sustainable solutions, sub-debt, securitization of receivables, acquisitions financing, Real Estate etc.
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Solid understanding of data modeling concepts (star schema, snowflake schema) and data warehouse design principles. Experience in building data lakes, AWS and data-related services (e.g., Athena, S3, Glue.
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Option 1: Bachelor's degree in UI/UX design, graphic design, visual communication, product design, computer science, information technology, or related area and 2 years’ experience in UI/UX, interactive and visual design, electronics art, multimedia design, or related area.
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The analyst may need to acquire, analyze, compile, and disseminate location-based information and intelligence, using data to populate geospatial. The Geospatial Analyst job title also covers such subtitles as Data Collector, Source Packager, and Product Delivery Specialist.
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The adjacent areas of major focus are Machine Learning Infrastructure and workflow, Experimentation Platform, Knowledge Graphs and various Data Science and Analytics related tooling. You will report into the Senior Director of Engineering, Data Platform as part of our Data organization in Engineering.
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Experience with 3D modeling based on real data such as photogrammetry, gaussian splats and scanned textures. With Falcon, Duality’s digital twin simulation platform, users build physically and visually accurate 3D worlds where autonomous robots and human participants can engage in real time, producing high fidelity perception and interaction data.
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Experience working in AWS cloud environment in designing and implementing a cloud data warehouse, other types of storage, and developing ETL/ELT pipelines. Our Data engineering team tackles challenging problems across many technical disciplines, including data warehouse, batch compute infrastructure, data orchestration systems, critical integrations (and more.
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These digital twins are essential for simulating the behavior of autonomous agents (like warehouse robots) and generating high-quality synthetic data for machine learning pipelines. Basic knowledge of software packages such as Photoshop, Blender, Zbrush, and texturing programs like Substance Painter and Quixel Mixer, with a keen interest in deepening your expertise in these tools.
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Experience using data visualization tools (Tableau, Looker, etc) Propose new data points and attributes for fraud detection and prevention. You will also have the opportunity to contribute to our fraud detection and monitoring strategies by proposing new data points and attributes.
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Perform PSGs and DXA Scans and participate in the collection of Actigraphy, Holter EKG Monitor and other research participant data. Participate in aspects of sleep data management for assigned projects including: update and maintain databases; resolve problem data issues; track data collection forms, and other project materials; perform verification procedures.
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Familiarity with Aladdin, data visualization tools (Tableau, PowerBI) and/or Python is a plus, but not necessary. You have extensive experience with financial modeling and fundamental credit analysis, working with sell-side firms and industry consultants, Bloomberg, utilizing research tools, trade publications, online sources, regulatory filings, etc., and interpreting this information to effectively tell a story.
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