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As a software engineer on the Runtime team at Databricks, you will be building the next generation distributed data storage and processing systems that can outperform specialized SQL query engines in relational query performance, yet provide the expressiveness and programming abstractions to support diverse workloads ranging from ETL to data science.
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Softrams is a Maryland and Virginia-based small business information technology, consulting, and solutions provider specializing in emerging technologies for UX/UI, mobile apps, DevOps, big data analytics, data science, and cyber security.
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We are looking for an experienced Data Engineer to partner with our Data Science and Data Infrastructure teams to own and scale our data pipelines. Partner with the Data Science and Data Infrastructure teams to build new foundational data sets that are trusted, well understood, and enable self-service.
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Our technology stack includes Java and Python as well as a wide range of internal tools built on top of Apache Spark, TensorFlow, and other Big Data technologies. As a Lead Engineer on the AI Ops team, you will be responsible for building the next-generation routing engine for the Internet using Data Science, Machine Learning (ML), and Artificial Intelligence (AI.
$241,700 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Amazon Web Services (AWS) offers a complete set of cloud services that enable all companies, from startups to enterprises, to run virtually everything in the cloud, including mobile applications, big data analytics, AI/ML platforms, and microservices/serverless infrastructures.
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Sector- and/or process-specific experience in D&A strategy and transformation, as well as exposure to design and implementation needs with a good understanding of general landscape for data science and big data opportunities; deeper understanding of sector- and/or process-specific landscape for opportunities.
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Exposure to big data platforms – Snowflake, Redshift, Azure, Matillion, Alteryx, DBT, etc. Good familiarity with the principles of data science and data engineering. Advanced data analysis skills – e.g., database query construction, data warehousing, forecasting, data mining and experience in business analysis.
Full-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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You're proficient in tools like Python, R, SQL, and big data platforms like Hadoop or Spark. Data Science Mastery: Extensive experience in data science, including deep knowledge of machine learning, statistical modeling, and data mining techniques.
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Job Description Data Engineer (SS&C Technologies, Inc.; San Francisco, CA): The Data Engineer will: Create a leading cloud platform with the latest big data, cloud native and machine learning technologies.
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As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
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Being an expert on the latest health and wellness technology, products and use cases related to AI, big data, responsible AI (Artificial Intelligence) / Machine Learning (ML), and Internet of Things (IoT.
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Proficiency in programming languages like Python , SQL, and working with big data tools like Spark and Hadoop. This senior leader would be the founding member of a Customer Data Science (CDS) team to take on these challenges – requiring this leader to develop and execute a team charter and roadmap , resulting in new customer and operational KPI reporting , predictive intelligence (e.g. , at - risk customers , customer maturity, etc.
$345,700 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, Dbt, and AWS 'big data' technologies.
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Consumer Identity ML is the data science and machine learning team inside Capital One's AI foundation organization. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.
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Emerging ML is the data science and machine learning team inside Capital One’s Applied Research organization. Technical: You have hands-on experience developing data science solutions from concept to production using open source tools and modern cloud computing platforms.
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