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Required Skills: Python, VBA, SQL, Big Data Analytics, Business Intelligence, Cloud Computing, DevOps, Machine Learning, Time Series Forecasting, Customer Segmentation, Data Exploration, Data Mgmt, Data Wrangling, Data Processing, Data Manipulation, Data Scrapping, Data Mining, Exploratory Data Analysis, A/B Testing, Hypothesis Testing, ETL, Anaconda (Spyder, Jupyter), Tableau, Looker, HTML, Linux, Google (BigQuery), marketing analytics, marketing ecosystem, marketing campaign motivations.
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Bachelor's Degree Management Information Systems, Finance, Mathematics, Economics, Computer Science, Engineering, Statistics, Public Health, Epidemiology or related quantitative discipline.
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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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Micro Services/Web service development experience using Spring framework Strong experience in Amazon EMR/DataBricks/Cloudera CDP Experience with Dask, Numpy, Pandas, Scikit-Learn Hands-on experience in Big Data, Cloudera Distribution 7.
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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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Computer science or computer information systems experience, including: web development, data analysis, data management, data visualization, cybersecurity, network administration, and/or software design using the model-view- controller pattern.
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Experience in writing spark streaming jobs (producers/consumers) using Apache Kafka or AWS Kinesis is required · Should have knowledge in variety of data platforms such as Redshift, S3, Teradata, Hbase, MySQL/PostGres, MongoDB · Experience in AWS services such as EMR, Glue, S3, Athena, DynamoDB, IAM, Lambda, Cloud watch and Data pipeline · Must have used the technologies for deploying specific solutions in the area of Big Data and Machine learning.
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Experience with data collection utilizing Geographic Information Systems (GIS)/Geographic Position Systems (GPS), a plus. Bachelor’s degree in Biology, Environmental Science, Ecology, Wildlife Biology, Avian Ecology, Environmental Resources, or a similar area of study.
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Fluent in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc. Internal knowledge of open source or related big data technologies. Circle is a financial technology company at the epicenter of the emerging internet of money, where value can finally travel like other digital data — globally, nearly instantly and less expensively than legacy settlement systems.
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Technically Related: Computer Science, Cybersecurity, Engineering, Human Resources, Information Technology/Systems, Journalism/Investigative Reporting, Languages/Linguistics, Logistics, Management Information Systems, Mathematics/Statistics/Data Science, Sciences (anthropology, biology, chemistry, etc.
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Bachelor's Degree in Data Science, Computer Science, Information Systems, Mathematics, Statistics, Engineering or similar (Masters Preferred) Analyze data from numerous sources (Splunk, Qualis, CMDB/Asset Inventory, CyberArk, Armis, ForeScout, Automated Patch Management systems, Threat and Vulnerability, Network Traffic, Governance and Standards data, Risk Assessment data, Security baselines, etc.
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Python,Data science,Machine learning,artificial intelligence,Sql,BigQuery,Google,git,github,looker. Python, Data science, Machine learning, artificial intelligence, Sql, BigQuery, Google, git, github, looker.
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You have good knowledge and understanding of data science approaches including machine and deep learning; application in imaging domain (H&Es, IHC, radiomics) a plus. You will continue to stay up to date on the latest relevant scientific literature and translate your learnings into evolving best practices in data science at Genmab.
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You will contribute to several clinical development programs to help identify appropriate biomarkers, mechanisms of action, and new indications using cutting-edge data science tools. You have a strong knowledge and practical experiences with high density data types in a clinical setting (genomics, transcriptomics, proteomics, flow cytometry, TCR sequencing, immune assays, etc.
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This position is with the Signal Processing team at WHOOP. As a Signal Processing Engineer, focused on Deep Learning, you will be part of a cross-functional team composed of Signal Processing, WHOOP Labs, Firmware, and Data Science.
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big data science information systems jobs Company: Business Computers Management Consulting Group Llc
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