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Data Center Electrical Engineer (Remote - East Coast Preferred) The minimum salary for the Data Center Electrical Engineer position is $130,000 annually and the maximum salary for the Data Center Electrical Engineer position is $180,000 annually.
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Take the computational biology lead on studies including; designing the study, the analysis plan and carrying out the statistical programming and data management to implement the plan. The QSU is seeking a highly motivated, hard-working and professional computational biology data scientist to extend our team of collaboration with clinical, immunological and bioinformatical researchers.
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At the epicenter of the data that drives all these operations is the Core Data Services team, and that is where we need a Senior Business Data Analyst. Extensive knowledge of data management and analysis tools including Databricks, Snowflake, Domo, and Tableau (Teradata and Cognos a plus; Splunk, Kibana, DataDog, New Relic, or other monitoring tools an huge plus.
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Hudson River Trading (HRT) is looking for a Data Production Engineer to join our Data team. Onboard datasets, explore data, and automate tasks using a modern Python data stack.
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Extracting data from CBRN-related modeling programs through post processing utilities to provide analysts user-friendly data tables and graphics to depict complexities such as toxicity effects over time, degradation of agent strength, and contaminated area coverage as a function of time.
$150,001 - $175,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We are seeking a talented and experienced Data Scientist to join our team onsite at Warner Robins Air Force Base (AFB), GA. This role is integral to harnessing data to support mission-critical decisions in a secure defense environment.
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Depth of understanding of business intelligence software such as Datorama, an expertise in media data and financials (PRISMA, Ad Servers) and cloud base services such as Snowflake, Databricks, Azure.
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Fall 2024 Graduate Data Analyst Engineering Co-Op/Intern LOCATIONS: Austin, Folsom. KEY QUALIFICATIONS: Python, SQL Data processing, ML experience Data Warehouse knowledge ETL pipeline knowledge Data Engineering Data Science Data Analytics, Data Mining PLEASE HAVE KNOWLEDGE OF ONE OR MORE OF THE FOLLOWING TECHNICAL SKILLS: Kubernetes, Tableau, PowerBi MongoDB Microsoft Cloud Services like Azure and AKS Snowflake SQL Server data platform Software development (including design, implementation, testing, and change management.
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They should be proficient in using various data analysis tools and programming languages such as Python, R, SQL, and data visualization tools like Tableau or Power BI. Support mission-critical and business-critical data systems including Fivetran, Databricks, and DBT.
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This isn't analyst work; you'll be leveraging data science methods, including AI and machine learning in an incredibly dynamic and engaging environment. Data science, machine learning, optimization models, Master's degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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3 Experience with Big Data/distributed frameworks such as Spark, Kubernetes, Hadoop, and Hive. Define optimal data flow for system integration and data migration. 1 Design, Development, and Implementation of large - scale projects in financial industries using Data Warehousing ETL tools (Pentaho), Experience in creating ETL transformations and jobs using Pentaho Kettle Spoon designer and Pentaho Data Integration Designer and scheduling.
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Experience managing information security technologies such as IDS/IPS, SIEM, endpoint detection & response, DLP, data encryption, proxies, and network access control, as well as security policies and procedures, and incident response.
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High familiarity with data platforms and applications such as: Databricks, Jupyter, Snowflake, Redshift, Airflow. Familiarity with data exploration and data visualization tools like Tableau, Looker, Chartio, etc.
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Experience in performing ETL and data engineering work by leveraging multiple google cloud components using Dataflow, Data Proc, BigQuery. Experience in building high-performing data processing frameworks leveraging Google Cloud Platform and Teradata.
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Conducts and streamlines quantitative research on signals and factors that predict future stock returns, using data science techniques - large dataset manipulation, Web scraping, natural language processing, and econometrics and statistical techniques.
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data job Title: analyst Company: Citrix Systems
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