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Master of Science degree in Computer Science, Engineering (Any Branch), Information Technology, Computer Applications/Applied Computer Science or Computer/Management Information Systems plus two (2) years of experience as Software Developer, Software Engineer, Computer Programmer, Systems Analyst, or related position.
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Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science with three years of industry experience Or an MS with at least five years of industry or research experience in the field.
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Preferred Experience: Data scientist, quant, developer or similar in an FSI company using GPU’s Specialized FAE or technical sales role selling HW accelerators into the FSI industry Existing network within the FSI Ecosystem Experience with GPU’s or other accelerators Academic Credentials: Technical degree or relevant experience necessary.
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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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Implementation and tuning experience in the Big Data Ecosystem, (such as Data Analytics (Dataproc, Airflow, Hadoop, Spark, Hive), GCP AI and ML Services and Data Warehousing (such as BigQuery, schema design, query tuning and optimization) and data migration and integration.
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Collaborate with different teams in EDM (Data Cloud, Architecture, Data Governance Tech, Data Science) and support strategic initiatives such as data governance, data-as-a-service, and self-service analytics.
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The Senior Scientist will support the validation of Client therapeutic candidates by performing hands-on, bench-level assays involving both cell culture and tissue-based work, and as well as sample processing and analyses from in vivo animal studies.
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1+ years of experience building/implementing data pipelines using Databricks such as Unity Catalog, Databricks workflow, Databricks Live Table etc. Experience with Data Orchestrator tool like Airflow.
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5+ years hands-on experience with the Big Data stack (HDFS, SPARK, MapReduce, Hadoop, Sqoop, Pig, Hive, Hbase, Flume, Kafka) A&I Data Service help to create data-driven organizations by providing the right solutions in Big Data technologies, Master Data Management, Business Intelligence Analytics by taking advantage of the Cloud based computing and storage.
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Job DescriptionWe are seeking an experienced and innovative Associate Principal Scientist with a strong background in In Vitro Pharmacology to join the External Quantitative Biosciences group (ExQB.
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OR, (2) A bachelor's degree from an accredited college/university, including 16 semester hours of biological science (with one course in microbiology), 16 semester hours of chemistry (with one course in organic or biochemistry) and one course in mathematics, AND two years of post-certification clinical laboratory experience (, blood banking, chemistry, hematology, microbiology, immunology, clinical microscopy, etc.
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Master's Degree in Computational Science, Engineering, Hard Sciences, Computational Linguistics, Applied Mathematics, Physics, Behavioral Sciences, PhD would be a plus, JD (Juris Doctor) with STEM background.
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Write spark jobs efficiently with algorithms used for big data processing. Ensure high operational efficiency and quality of the Core Data platform datasets to ensure our solutions meet SLAs and project reliability and accuracy to all our stakeholders (Engineering, Data Science, Operations, and Analytics teams.
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Accounting, Finance, Management Information Systems, Management Information Systems & Accounting, Computer and Information Science, Computer and Information Science & Accounting, Mathematical Statistics, Statistics, Mathematics, Economics, Economics and Finance, Economics and Finance & Technology, Business Administration/Management, Engineering.
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MINIMUM REQUIREMENTS: Bachelor's degree in Computer Science, Engineering, Mathematics, Business, Accounting, Finance or a related field and 5 years of progressive, post-baccalaureate work experience in a customer-facing role in a large consulting firm and/or in the industry.
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