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Data science, machine learning, optimization models, Master’s degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch)Primary Location.
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We work with agencies and corporations across the country in the areas of Account Management/Client Services, Brand Strategy, Content and Digital Strategy, Traditional and Digital Media, Marketing Data Analytics, Search Marketing (PPC/SEO) and Social Media.
$80,000 - $90,000ExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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As a Senior Analytics Engineer, youll partner with our business leaders to define key metrics and develop the data architecture. Partner with data analysts, engineers, and scientists to build reusable data infrastructure, analytics, dashboards, and models.
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Key subject areas within CDAO include Analytics and Data Science, Data Architecture, Data Platforms, Data Engineering Core Data Management, and Data Governance.
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More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow.
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Edinburgh #kiev #hcmc #hanoi #sanaa #taiz #aden #gibraltar #marrakech #lodz #wroclaw #poznan #Gdansk #szczecin #bydgoszcz #lublin #katowice #rio #salvador #fortaleza #brasilia #belo #belem #manaus #curitiba #portoalegre #saoluis data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server.
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Hands-on experience with database systems (e.g. SQL, NoSQL, vector, search) and data warehousing solutions (e.g. Snowflake, Redshift, BigQuery) Design and implement scalable data models and architectures to support data warehousing, analytics, and reporting needs.
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Data analysis & automation - Familiarity with data structures, demonstrated experience processing large volumes of test data, reading different file types and automation of analysis process, familiarity with concepts like optimization with genetics algorithms and neural networks.
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Customized semiconductor device (especially customized electron detection device) design and simulation, performance optimization, and simulation model building. Customized semiconductor device process optimization.
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Practical hands on experience with: NLP (especially operationalization in production models), Advanced machine learning techniques and tools (especially Tensorflow), modern Data Analytics & Visualization tools (Looker preferred.
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This individual will be a contributing team member in our Process Optimization and Robotics Consulting practice, while working alongside the client and their teams on various areas including ISO, SOC, CCPA/CPRA, GDPR, ISMAP. RPA Development and Process Automation for internal audit processes, security and compliance processes, financial processes, business processes, and similar engagements.
$70,000 - $147,767Full-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Familiarity with data services such as Elasticsearch, Redis, NiFi, MongoDB, MySQL, PostgreSQL, etc., is preferred. The solutions span AI/ML for improving manufacturing yield, quality, equipment uptime, and adaptive testing, Operations Research for capacity and scheduling optimization, Digital Twin for inventory and logistics optimization, and Product Telematics for managing customer fleet management solutions.
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Design and Build Big Data platforms using Hortonworks, Cloudera CDH, Apache Hadoop as a Data Storage and processing systems using Apache Spark and Presto Analytics Engine. Build high throughput data pipelines using Apache Kafka that enable sophisticated Catalog Azure/GCP Data Lake and ensure that all data transmission is secured and protected.
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Strong expertise in statistical analysis tools, SPC methodology, DOE, data analytics using JMP or other statistical software. Conducting tests and monitoring the process performance through data analytics SW such as JMP.
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Process Mining, Big Data, Business Analytics, Business Processes, Intelligent Business Cloud, Intelligent Business System, Digital Transformation, Business Process Automation, Robotic Process Automation, Machine Learning, Artificial Intelligence, SaaS, Big Data Analysis, Business Process Analysis, Process Analytics, Digital Innovation, Software Development, Real Time Optimisation, and Execution Management System.
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