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Familiarity with databases and cloud data warehouses like Google Cloud, Amazon Redshift, Microsoft Azure, Snowflake, Databricks, etc. Experience in data querying, modeling, and transforming in at least one core tool, including SQL / dbt / Python / Business Intelligence tools / Product Analytics tools, etc.
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A Google Cloud professional with Azure and AWS experience who knows the ins and outs of Internet-hosted services. Enterprise experience with Google Cloud and deep familiarity with Google's best practices.
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From employing predictive analytics with your proficiency in software like R or Python to applying advanced psychological theories in criminal profiling with your depth of knowledge in psychology, your unique skills are essential.
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You are a SQL expert and have experience in Python or R to perform statistical analyses. You’ll conduct quantitative research to inform product strategy and opportunities, design metrics to help track goals and make decisions, devise learning methods (including experiments) to test hypotheses, and work closely with our machine learning and data engineering teams on building MVP user-facing data products.
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With raise)Musts:Valid driver's license Money motivatedOutgoingWeekend availability Company overview: Bath Planet is a locally owned business with over 200 five star reviews on Google. with raise)Musts:Valid driver's license Money motivatedOutgoingWeekend availability Company overview: Bath Planet is a locally owned business with over 200 five star reviews on Google.
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3 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree. 5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree.
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Experience coding with Java, Go and/or web technologies (e.g. HTML, CSS, JavaScript, Python/Ruby, Django/Flask/Ruby on Rails, etc.) Experience with distributed computing systems and/or cloud infrastructures (e.g. Spark, Hadoop, YARN, Kubernetes, AWS, etc.
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Our technology powers creative decision-making at some of the biggest brands in the world, including Google, Unilever, Pepsi, Bayer, Mondelez, Heineken, and more. Own senior relationships with CreativeX clients and our ecosystem partners (e.g. Meta, Google, Media agencies, Kantar, IPSOS, etc.
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Understanding of security technologies, frameworks, and best practices related to cloud platforms (e.g., AWS, Azure, Google Cloud), network security, identity and access management (IAM), encryption, data protection, and compliance.
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Create RESTful APIs development using Python Flask or Django REST framework. In particular, as a Data Scientist in the Gerald Data Science team, you should possess an in-depth knowledge of object-relational mapping, experience with server-side logic, and knowledge of Python programming/scripting.
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2+ years of experience utilizing Azure services including designing and implementing cloud solutions using Microsoft Azure services, such as Azure Active Directory, Azure App Service, Azure SQL Database, Azure Storage, Azure Functions, Azure Logic Apps, Azure DevOps, etc.
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Experience in Python/R and SQL is requisite; ideally has worked with cloud data warehouses before (Snowflake, BigQuery, Redshift, etc.) Prototyping and implementing data processing pipeline and statistical models in Python/SQL/R which will ultimately contribute to.
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At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Utilize programming languages like Java, Python, SQL, Node, Go, and Scala, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
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Tools on the job are Python, Presto, Alteryx DataIku and PowerBI. Experience in two or more of the following domains will be considered. You will ideally have experience working in a data science capability within financial markets with a working understanding of statistics, machine learning models and hands-on expertise with data wrangling and automation in and out of cloud-based data platforms.
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Sequretek offers end-to-end security in the areas of enterprise threat monitoring, incident response (Percept XDR), device security (Percept EDR), identity & access governance (Percept IGA) through their own AI driven Percept Cloud Security Platform (PCSP.
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