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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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Proficiency with data platform architecture, design, data dictionaries, multi-dimensional models, objects, star and snowflake schemas as well as structures for data lakes, data science, and data warehousesExtensive experience with big data technologies and cloud platforms (e.g., AWS, Azure, GCP.
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Professional Attributes Experience with various industry specific software; Micros, Toast, open Table, Seven Rooms, Avero and others Adept at team building across both back and front of house Adaptability in both your leadership style and your business approach Advanced knowledge of Food and Wine. Level 1 Somm certification a big+ Desire to teach and mentor both your staff and interns.
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We're looking for data-driven problem solvers with a growth mindset, willing to stretch their comfort levels, evolve best practices within growth marketing, and move quickly with attention to detail to do big things.
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Related Bachelor’s degree in Data Science, Applied Mathematics, Computer science (e.g. specialization: Machine learning/Artificial Intelligence /Visualization, databases, and Big Data), Statistics, Epidemiology, Health Services Research, or closely related field with Data Science specialization or additional related equivalent work experience.
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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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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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Extensive experience with big data technologies like Hadoop, Spark, and Kafka. Experience with data warehousing solutions like Snowflake, Redshift, or BigQuery. Optimize data processing and storage performance to enhance the efficiency of data operations.
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A person who has lived and breathed engineering, construction, project management and project controls who likes to think big-picture and help find solutions. Proficient knowledge of Project Controls environment and related software including Microsoft applications, Oracle Construction and Engineering Suite (i.e. Oracle Primavera), Hexagon Ecosys PPM, E-Builder, Procore, Kahua, PowerBI and Tableau.
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But child care, adoption, and surrogacy are big decisions. At T-Mobile, we strongly encourage everyone, including people of color, veterans, military spouses, individuals with disabilities, lesbian, gay, bisexual, transgender, queer and non-binary people, and parents to apply.
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With a storied history dating back nearly 140 years, Stanford Court sits on the historic site of renowned Big 4 railroad mogul, university founder, and U.S. senator Leland Stanfords elaborate private mansion.
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Advanced experience in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc. Internal knowledge of open source or related big data technologies. Advanced experience in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc.
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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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Preferred qualificationsHave experience in Java, Scala (Spark), or RubyExperiences with big-data technologies such as Spark, Presto, Kafka, and Flink, and OLAP preferredNote that It’s not expected that any single candidate would have expertise across all of these areas.
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Experience deploying and maintaining pipelines (AWS, Docker, Airflow) and in engineering big-data solutions using technologies like Databricks, S3, and Spark. Experience deploying and maintaining pipelines (AWS, Docker, Airflow) and in engineering big-data solutions using technologies like Databricks, S3, and Spark.
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big job Company: Chipotle in San Francisco, CA
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