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We need a strong data scientist leader to manage our ML & data science research & development and evolve the services that make up the backbone of Xometry’s business. Serve as a strategic leader as part of our data science & machine learning team, with responsibility for Xometry’s pricing strategy.
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What you’ll bring to Circle: 5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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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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Project Details Job Title: Data Analyst Location: Onsite office in Portland Hours: 40 hours weekly Start date: ASAP Employment Type: W2 Full-Time Employee Pay rate: $18 hrly Preferred Qualifications Bachelor's degree OR experience in Computer Science, Data Science, Linguistics or Computational Linguistics or a related field.
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Bachelor’s Degree in Geology, Hydrogeology, Soil Science, Environmental Science, Environmental Engineering or closely related discipline. Provide guidance with data collection efforts for extracting, identifying, and compiling environmental data from soil sampling, soil gas sampling, groundwater sampling, stormwater sampling, boring logs, and other matrices for projects, investigations, and surveys.
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Stationed in our global offices, AAG team members hold advanced degrees in computer science, engineering, AI, data science, physics, statistics, mathematics, and other quantitative disciplines, with backgrounds in a variety of fields including tech, data science, marketing analytics and academia.
$260,500 - $313,000 a yearFull-timeExpandApply NowActive JobUpdated 5 months ago - UpvoteDownvoteShare Job
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Must be able to obtain a forensic analyst license from the Texas Forensic Science Commission in accordance with the Code of Criminal Procedure Title 1 Chapter 38.01 within one hundred eighty (180) days of starting employment.
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Assist the team that will document, maintain, and tune AML transaction monitoring rules, sanctions screening systems, and risk scoring models as well as detailing data lineage and model/rule assumptions and parameters for all models.
$145,000 - $192,500 a yearFull-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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A bachelor's degree in computer science, business or equivalent experience and eight (8) or more years of experience as a data engineer, with strong proficiency Databricks, and Azure Data Factory.
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Experience with at least one data integration tool (e.g., Talend, Informatica Cloud, Pentaho, Jitterbit, Boomi, and MuleSoft) Must Have : Salesforce Data Migration, ETL Testing. Salesforce certifications: Salesforce Integration architect, data architect, admin.
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You will be responsible for developing an aerodynamics model using computational fluid dynamics (CFD), empirical data, and wind tunnel test data. Typically requires a Bachelor’s in Science, Technology, Engineering, or Mathematics (STEM) and a minimum of 8 years of prior Aerodynamics experience with flight vehicles.
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Designs, develops, and implements ETL/ELT processes using Azure Data Factory, Synapse pipelines, Databricks Notebooks, Event Hub to build integrations from Saas sources such as Service Now, Workday, Dynamics CRM, and Eloqua.
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Associate of Applied Science/Bachelor of Science Degree in Geomatics or equivalent plus 5+ years of experience preferred. We utilized proven technology for creating efficiencies of business and to deliver projects combining multiple means for data collection to create a cost-effective geospatial solution for our clients.
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Sabey Data Centers is seeking a Data Center Facilities Engineer II to join their team in Austin, TX, where you'll help lead and build their newest team in their cutting-edge data center campus.
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The Data Center Facilities Engineer is responsible for the operational integrity, commissioning, and regulatory compliance of the electrical power, mechanical, monitoring and control systems, and the processes that maximize customer uptime in the most cost-effective way for highly available, concurrently maintainable, fault tolerant mission-critical data center environments.
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data science jobs Title: data science lead quantitative analyst in Austin, TX
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