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Our Mission is to drive monetization and sustainable revenue growth for TikTok through data science. We're the TikTok Monetization Products data science team, who enables and champions data driven decision making.
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Leading the design, build, migration, and testing of OneStream for multi-dimensional data models (dimensions, hierarchies, attributes); input template and report build; Data Integration and Extract Transform and Load (ETL) concepts; understanding of calcs (allocation, top-down spreading, currencies); and, workflow, data permissions and security.
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Certification in any of the following is a plus - Certified Data Privacy Solutions Engineer (CDPSE), OSCP, OSCE, PCNSE, Google Cloud Architect, AWS Cloud Architect, CISSP-ISSEP - Sec. Eng. Professional, GIAC Certified Enterprise Defender (GCED), CCSP.
Full-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Experience leveraging complex data to drive business decisions, hands-on experience in data science methodologies (predictive analytics, machine learning, patient level data triggers) using R, Python, Databricks and deep knowledge of Qlik, PowerBI, Tableau for visualization.
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Sensor Fusion Development: Integrate LiDAR data with other sensor data (e.g., GPS, IMU, cameras) to create accurate, real-time maps and localization solutions. Strong background in sensor fusion, particularly with LiDAR, GPS, IMU, and camera data.
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Data Storage technology (SSD, HDD, etc. Principal Engineer/Researcher – Data and AI Platform Solutions (Data Focus) PhD Degree. Our client in Mountain View, CA is looking for a Principal Engineer/Researcher – Data and AI Platform Solutions (Data Focus) PhD Degree.
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Principal Data Scientist 10+ years of industry experience and 3+ years as either a lead in a data science role or in a management position in data science with a PhD/MS in PhD/MS in Engineering Mathematics, Statistics, Theoretical/Computational Physics, or related field.
Full-timeExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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Data Visualization Tools: Proficient in data visualization, with experience in software such as Streamlit, Superset, Tableau, Business Objects, and Looker. Experience in Enterprise-ready Cloud Data-Warehousing platforms like Snowflake is highly valued.
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Supermicro is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide.
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Supermicro is seeking a Staff Product Manager who can lead the development and integration of storage system products for cloud and data center infrastructure. Leverage strong technical background to create technical product requirements for cloud/data center infrastructure solutions based on customer requirements, industry trends and business requirements.
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HMIS/HUD: You are a subject matter expertise in one or more of the following domains: Coordinated Entry, HMIS, HUD and/or Federal Partner Requirements & Reporting, Continuum of Care Roles and Responsibilities, Data Quality Improvement, and Data Visualization.
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Our work integrates sensor data and predictive models to make real-time decisions for smooth and reliable autonomous driving. Analyze autonomous driving simulation and road test data to identify and resolve motion planning issues.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Publications or active peer reviewer in related journals or conference, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
$286,000 a yearFull-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Advanced knowledge in Visualization tools like Google Data Studio, Tableau, Looker etc. The Lead Data Engineer should possess a breadth of knowledge, technical skills, and strategic thinking to build a Data Warehouse to answer important questions across a variety of functional areas and collaborate with business stakeholders and IT management to understand solution requirements and system design for delivering the data model, developing and implementing the solution to deliver the desired business outcomes.
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Plan, prioritize, implement and deliver investigative reporting systems using SAP, ABAP, SAP Business Intelligence and Data Warehousing technology stack and tools, such as SAP Business Warehouse (BW), High Performance Analytical Appliance (HANA DB), Operational Data Provisioning (ODP), SAP Analytics Cloud (SAC), SAP Business Objects (BOBJ), Analysis for Office (AO), Landscape Transformation Replication (SLT), Data Services (DS), HANA Smart Data Integration (SDI) and HANA Smart Data Access (SDA.
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data job Title: laborer in Santa Clara, CA
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