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This role will provide expertise to support the development of a Big Data / Data Lake system architecture that supports enterprise data operations for the District of Columbia government, including the Internet of Things (IoT) / Smart City projects, enterprise data warehouse, the open data portal, and data science applications.
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Proficiency in data technologies, such as relational databases, data warehousing, big data platforms (e.g., Hadoop, Spark), data streaming (e.g., Kafka), and cloud services (e.g., AWS, GCP, Azure.
$65,000 - $75,000 a yearFull-timeExpandApply NowActive JobUpdated 26 days ago - UpvoteDownvoteShare Job
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Strong analytical skills with a solid foundation in programming (e.g. R, python, SAS, MATLAB), database environment (e.g. big-data platforms, SQL), and dashboard development (e.g. PowerBI.
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5+ years working experience with key open source big-data projects as a contributor or committer including Apache Spark, Apache Flink, Trino, Apache Kafka, Apache Hive, Apache Arrow, Apache Hadoop, Delta Lake, Apache Iceberg.
$268,000 - $414,000 a yearFull-timeExpandApply NowActive JobUpdated 5 months ago - UpvoteDownvoteShare Job
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Big Data Technologies: Distributed Computing: Tools like Apache Spark, Hadoop. Software Engineering & DevOps: Version Control: Familiarity with tools like Git. Continuous Integration/Continuous Deployment: Knowledge of pipelines and tools like Jenkins, Travis CI. Containerization: Familiarity with Docker, Kubernetes, etc., for scalable deployment of data science applications.
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The Department of Data Sciences at Dana-Farber Cancer Institute drives cancer research through innovation and collaboration in the quantitative sciences. Statistical Skills: Expert at statistical methodology, and the use of statistical software, coding, data analysis and effective presentation of results.
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PhD in network science, physics, big data, behavior modeling, urban science, complex systems, machine learning, visualization, geospatial analysis or related field. Programming (Python, R), statistics, and data science skills are essential.
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Must include one year of experience in each of the following: (1) working with complex data structures and large datasets in a real business setting; (2) utilizing SAS, SQL, Excel, VBA, PPT, Tableau, Visio, MARS and CART software; (3) delivering oral and written data analytics presentations to clients, senior managers and executives; (4) big data processing, data extraction, and variable reduction; and (5) managing analytics projects with global resources.
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Requirements: Requires a Master s degree (or foreign equivalent), in Statistics, Business Analytics, or related field and 2 years of experience as Data Analyst, Statistical Analyst, Data Scientist, Pricing Analyst, Predictive Analyst, Modeler, Lead Consultant or related position performing Big Data Analytics.
$157,800 - $172,600 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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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Job Description: The big data architect will support the development of autonomous driving software solutions by playing the role of subject matter expert for the big data systems, underlying data and data products.
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Experience with the Big Data stack (HDFS, SPARK, MapReduce, Hadoop, Sqoop, Pig, Hive, Hbase, Flume, Kafka) as well as with the No-SQL (e.g. MongoDB, HBase, Cassandra) As a Data Engineering & Analytics practice lead you will be responsible for growth, business development and providing advisory and thought leadership on the provision of analytics environments leveraging Cloud based platforms, big data technologies, including integration with existing data and analytics platforms and tools.
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5+ years of experience across a breadth of data science, AI and machine learning disciplines including, but not limited to: forecasting, natural language processing (topic modeling, semantic search, text classification), deep learning and GPU-based algorithms (CNN, LSTM), computer vision.
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The Department of Homeland Security (DHS) is recruiting professionals to support a range of leadership roles in Data Science, including Data Science Manager, Data Engineer Team Lead, FISMA Support Metric Lead, Data Modeler, Data Security Officer and Operations Research Chief.
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This announcement is being used to fill the Data Science Talent Pool. By applying to this job announcement, you are opting to be part of the DHS-CS Talent Pool for ongoing consideration for employment for relevant open jobs and will remain eligible for consideration for up to one year from the date of completion.
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big data science jobs Company: Capitalg Management Company Llc
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