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You will have indepth knowledge and experience in; cloud data lake house; Databricks (preferred) or Snowflake; cloud-native solutions knowledge; SQL or Python; modern DevOps approach; have written data code AND also the CI/CD pipelines.
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IDR is seeking a fully remote Data Architect to join one of our top Fortune 100 clients. Utilize Palantir Foundry to develop and implement data solutions, ensuring robust data governance and security.
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And would not be offended if someone described one or more of your past roles as a "data engineer." Senior Software Engineer, Data. We're looking for a data-stack-focused engineer to join our core platform team.
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Our client is currently seeking an experienced Data Engineer – Big Data individual for their Midtown office in Atlanta, GA. The successful candidate must have Big Data engineering experience and must demonstrate an affinity for working with others to create successful solutions.
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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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In supporting rule analysis, Teammate should be able to Independently perform sophisticated data analytics that fit to the fraud problem being observed (ranging from classical econometrics to machine learning, neural networks, and natural language processing) in a variety of environments using structured and unstructured data.
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Analyzes and evaluates data fields of GCIC/NCIC records in department. Inquiries against confidential criminal justice data bases for compliance with the Rules of the GCIC Council, federal and state laws and operational procedures.
$39,382 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We are looking for a Data Scientist to join our Risk Machine Learning & Decision Science team. You will have a chance to own the key metrics, develop data pipelines, ETL. You will also make direct impact to our key success metrics via building machine learning solutions, risk detection rule development and deployment.
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Design and implement a data driven operating model across the company; oversee data strategy, data architecture, data governance, reference and master data, data analytics and data product management functions across the enterprise.
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An active listener and clear communicator; can lead by influenceAbility to find creative solutions to complex problemsExhibit a strong sense of urgency and ownership for task/project completionHighly adept at working collaboratively across multiple business and technical functions to achieve resultsWhy CoverMyMeds?
$78,500 - $130,900Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The People Analytics team is globally respected as a leader in its field and is dedicated to staying on the cutting edge of business intelligence and data science methodology and technology.
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Data collection and analysis of blockchain activity to understand trading activity, incentives, and how USDC fits in to the broader crypto ecosystem. As our first Data Science hire focusing on Machine Learning at Circle, you'll start by focusing on two critical problems: helping identify transactions and actors who might be acting illicitly and helping us better balance our reserves across a series of accounts to reduce systemic risk inside the company.
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Prior experience building an investments data warehouse covering common data domains (clients, portfolios, funds, holdings, transactions, trades, securities/investments, ESG, analytics, performance, IBOR/ABOR/TBOR, benchmarks/indices) or with vended products that provide similar functions (e.g. Eagle, State Street Alpha platform.
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Using tools such as Snowflake and/or Databricks, they will also work with cutting-edge DevOps technologies, develop advanced analytics products, and apply data and statistical programming tools to enterprise data to advance and enable key mission outcomes within cloud environments (GCP, AWS, Azure.
$107,925 - $179,875 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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The ideal candidate will have a strong background with large-scale cloud migrations, data and analytics platform design, healthcare systems, infrastructure, and integrations. Technical Skills: Experience working with a wide variety of technologies, including: Electronic Medical Records, and Electronic Health Record systems (EMR, EHR) Database technologies (SQL, NoSQL, Oracle, MySQL) Big data technologies (Hadoop, Spark) Data visualization tools (Tableau, Power BI, Cogito) DevOps tools (Azure, Docker, Kubernetes, Jenkins) Enterprise systems (ERP, CRM) Familiarity with healthcare data standards and interoperability.
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data job Title: analytics engineer in Atlanta, DE, Germany
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