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Bachelor's degree from an accredited college or university in computer information systems, computer science, data management, information systems, information science, mathematics, or a closely related field.
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In our Data science track we prepare you to get job as one of the following: Python developer, a data analyst, data visualization developer, a statistician, a machine learning engineer or a data scientist.
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KEY QUALIFICATIONS: Python, SQL Data processing, ML experience Data Warehouse knowledge ETL pipeline knowledge Data Engineering Data Science Data Analytics, Data Mining PLEASE HAVE KNOWLEDGE OF ONE OR MORE OF THE FOLLOWING TECHNICAL SKILLS: Kubernetes, Tableau, PowerBi MongoDB Microsoft Cloud Services like Azure and AKS Snowflake SQL Server data platform Software development (including design, implementation, testing, and change management.
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BS/MS in Computer Science, Computer Engineering, Data Science, Machine Learning or related major. Experience working with large-scale data warehouse solutions such as Snowflake, or Redshift and messaging queues like Kafka.
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6+ years of experience in core programming languages and data science packages (Python, Keras, Tensorflow, PyTorch, Pandas, Scikit-learn, Jupyter, etc.) 6+ years of experience working in data science, data engineering, software engineering, or MLOps.
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What you’ll bring to Circle: 5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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This role will drive data engineering for large-scale data science initiatives across a wide variety of strategic projects. Chip in to data engineering and data science frameworks, tools, and processes.
$127,300 - $229,300 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Applies knowledge of hydrometeorological data science, including that of emerging research, to advise on business decisions and program direction. Graduate degree, or working towards completion of a graduate degree, from an accredited college or university with major coursework in Meteorology, Atmospheric Science, Hydrology, Scientific Computing, Civil Engineering, or related field.
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This position requires:A bachelor’s degree in computer science, business or equivalent experience and eight or more years of experience as a data engineer, with strong proficiency Databricks, and Azure Data Factory.
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We are seeking a skilled Data Science Engineer who will be responsible for overseeing the maintenance and improvement of current machine learning implementations within our Revenue Cycle line of business.
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POSITION SUMMARYWe are looking for a Data Science Architect (Digital Marketing) who will work as a team member of the Global Digital Services team to lead, execute, and establish the data, analytics, and customer integration platforms that empower the marketing function to engage with, gain holistic insights into, and perform analysis related to customer perception, preferences, and behavior, to drive marketing qualified leads, and revenue outcomes.
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Our data science, cloud-native software, and passion for customer success deliver the highest ROI, fastest time to value, and highest customer satisfaction. Zilliant is looking for a Senior PM to join our Platform Product Management team, responsible for a key pillar of our strategy: data.
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Establish the customer data integration framework / unifying customer data from different structured and unstructured sources using the tools provided by Salesforce/Adobe/Snowflake and the likesStructured: CRM, online registrations, email campaigns, B2B, other listsUnstructured: social media, consumer reviews/blogs, forums, user behavior etc.
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What You’ll Do: As the Director of Data Engineering at SEON, you will be responsible for the ownership and optimization of the technology teams responsible for Data Engineering, Data Science, Business Intelligence, & our AI/ML technology stack Develop and execute data strategy and architecture to drive business objectives and empower engineering teams and data analysts.
$196,000 - $366,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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As a highly collaborative organization, our data engineers work cross-functionally with software engineering, data science, and product management to optimize growth, strategy, and experience for our 3 billion plus users, as well as our internal employee community.
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science job Title: data in Austin, Fernley, Nevada
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