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Alternatively, the employer will accept a Master’s degree in Finance, Computer Science, Engineering Management, or other related field plus three (3) years of experience in the job offered or three (3) years as a Senior Application Support Engineer, Data Analyst, or a related occupation.
$169,104 - $199,104 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Economics, Statistics, Applied Mathematics, Mathematics, Financial Mathematics, Data Processing/Analytics/Science. As a Senior Associate in our Risk Analytics and Modeling team, you’ll have the opportunity to apply your quantitative, modeling and analytical skills in a real world environment to develop or validate statistical, financial engineering, and AI/machine learning models in the areas of credit risk, market risk, assets and liabilities management, fraud detection, anti money laundering and other functional modeling and analytics area.
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Minimum 2 years of experience with large-scale data processing platforms such as Spark, EMR, and/or HPC computing experience with e.g. Apache Aurora, Slurm. Helps grow and mentors team members on the fine art of data engineering and software abstractions.
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We are currently seeking a Geologist, Engineering Geologist, or Geological Engineer to work in a technical support role with highly skilled professionals on diverse project teams in a dynamic environment.
$65,000 - $130,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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As part of the Biotherapeutic Engineering team, you will report to the Senior Director of the organization and interface very closely with cross functional project team members to make data driven decisions with impact on pipeline is vital.
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The Enterprise Data Engineering Team is responsible for the development and support of GMO’s critical data processing and warehousing applications. Support the production processing of data within the Enterprise data ecosystem.
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Focus on software development life cycle, you will collaborate with our Head of Technology Strategy, Head of Data, Solution Architects, Data Analysts, Data Team, and Portfolio Delivery function Leads to understand customer and technical needs to design and implement the Global Investment data platform, including Persistence, Integration and Services layers of the business solutions in compliance with architecture principles and standards followed by MMC technology.
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Key medicinal chemistry principles to your cross-disciplinary colleagues from Computational Chemistry, AI Research, Machine Learning Engineering, Cell Biology, and Pharmacology. At 1910 Genetics, we put computation at the heart of drugdiscovery, blending expertise in computational chemistry, structuralbiology, pharmacology, genetics, data science, and softwareengineering to develop drugs for previously undruggable targets.
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Familiarity with big data processing frameworks such as Apache Spark and experience with programming languages like Python, Scala, or SQL. Continuously evaluate new cloud technologies and data processing frameworks to enhance the feature store's capabilities, including integration with Azure-based services like Azure Data Factory, Azure Databricks, and others.
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Bachelor's degree (or foreign education equivalent) in Business Analytics, Project Management, Computer Science, Engineering, Engineering Management, Information Technology, Information Systems, or a closely related field and five (5) years of experience as a Senior Manager, Advanced Data Analytics and Insights (or closely related occupation) performing data analytics and insights in a large cross-channel enterprise environment.
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Participate in data delivery for clients of custom data cuts of IHS Markit TRANSEARCH database. Experience dealing with large data sets using MS Sql, Python, R, ArcGIS, Transcad, MS Access or Excel.
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You will primarily be responsible for designing, building, iteratively improving, automating, deploying and scaling our data pipelines for processing flow cytometry data into quantitative protein measurements.
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The Algorithms, Machine Learning, & Data Science Group within AES Advanced Tech Team creates advanced algorithms in the fields of machine learning, artificial intelligence, signal processing, intelligent control, and other areas of electrical engineering and computer science that are of strategic interest to the AES Business Unit’s goals and roadmaps.
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Proficiency in complex data extraction or processing using Python, SQL, Snowflake. Minimum of 2 years of relevant professional experience in financial engineering, technology or quantitative investment functions with practical experience querying on-chain data and/or deploying smart contracts.
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We combine this and other high-throughput protein engineering approaches with computational design to create antibody-like drugs and other biologics. Manifold Bio is a biotech company pursuing a pipeline of protein therapeutics using novel molecular measurement technologies and library-guided protein engineering.
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data processing engineering jobs Title: data engineer sr in Boston, Pelham, New Hampshire
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