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Clients in this practice group represent a diverse range of industries, including artificial intelligence and machine learning, autonomous vehicles, aviation, big data, cleantech and climate solutions, data storage, digital health and wellness, digital media and entertainment, electronic gaming, fintech, life sciences, robotics, semiconductors, software, and SaaS, and web3, among other emerging and disruptive technologies.
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Prior experience involving 3D scanning or measurement of the human body is a big plus. Apply mathematical (geometry, linear algebra, numerical methods, error analysis) and machine learning methods to prototype and develop algorithms for converting raw depth sensor data into point clouds, 2D and 3D tracking like SLAM, 3D point cloud reconstruction, registration, and classification as well as texture projection and completion.
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12+ years of transfer pricing experience with a mix of both big four and in-house experience. Certified Public Accountant (CPA), Juris Doctor (JD), Master of Laws (LLM), or similar certification.
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Knowledge of change management frameworks and tools (Prosci’s ADKAR model or Kotter’s 8-Step Change Model is a big plus). As part of the Professional Services team, the Engagement Manager requires proven project management skills, preferably in a SaaS environment, exceptional communication, change management and program management experience.
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You are a mobile-first engineering manager (iOS/Android) and have experience developing native mobile applications You have excellent communication, presentation, and documentation skills with the ability to define and communicate the “big picture” to key stakeholders at various levels.
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Job Description Data Engineer (SS&C Technologies, Inc.; San Francisco, CA): The Data Engineer will: Create a leading cloud platform with the latest big data, cloud native and machine learning technologies.
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Hands on experience with big data frameworks and modern data technologies (Snowflake, dbt, Airflow, Tableau, SQL). 2+ years of experience as a Product Manager in a modern, data-driven environment or 2+ years of combined Data Engineering, Analytics, Product Management experience.
$120,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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You have a good general knowledge and interest in the new technologies in the field of Big Data, IoT and Data center technology landscape. Cloud native and Kubernetes knowledge is a huge plusYou have a genuine passion and understanding around how next generation data driven applications transform businesses and society.
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Candidates should be familiar with some of the following: subsurface imaging with passive seismic data, geomechanics, earthquake characterization, seismicity forecasting, seismic wave physics, big data processing, machine-learning-based processing, distributed fiber optic sensing, seismic sensors and deployment, hydraulic fracturing, and/or geothermal exploration.
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You've heard of computing pioneers like Ada Lovelace, Douglas Engelbart, Alan Kay, and others—and understand why we're big fans of their work. For example, you might design and implement a new permission model for how integrations get access to data.
$250,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Utilizing knowledge of modern big data approaches preferred: e.g. PySpark, Apache Spark, Azure Databricks, Azure SQL, Azure ML, R, Python, Java, etc. Finance, Business Administration/Management, Economics, Statistics, Computer and Information Science, Management Information Systems, Engineering, Data Processing/Analytics/Science, Mathematics, Accounting.
$232,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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You bring a passion for matching business needs with building technically innovative solutions and excel at shifting between the two—understanding how big-picture goals inform technical details, and vice-versa.
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Experience with big data technologies & tools like Spark, Databricks, EMR. Experience working in a modern, agile software team with version control & project management tools (e.g., Git, SVN, Jira, Basecamp.
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Need experience building ETL pipelines from NoSQL databases, MongoDB acceptable, but if they have used a less mature NoSQL such as Google Filebase that would be preferredExperience in Vector DB preferredNeed strong data warehousing and modeling fundamentalsAdvanced SQL skillsNeed experience with at least 1 BI tool: Tableau, Looker, etc.
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Contribute to the development and maintenance of dashboards and reports using tools like Workday, Tableau or AlteryxSupport ad hoc data analysis and reporting requests as neededExperience you'll bringCurrently enrolled in an MA or PhD program in a field that emphasizes quantitative social science research, such as Industrial/Organizational (I/O) Psychology, Economics, Behavioral Science, Data Science or Analytics, or a related field.
$20 - $25Full-timeExpandApply NowActive JobUpdated Today
big job Title: data project manager in San Francisco, CA, Us
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