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Link data sets from program risk profiles, program baselines, financial and/or grants data, Capital Planning and Investment Control systems, internal review boards, USA Spending, US Census bureau surveys, internal survey data, and other data sets that need to be linked together.
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The Modeling and Simulation Data Scientist will support the Combination Product Operations organization by improving the way. Partner with multi-discipline digital teams (data analysts, data engineers, data scientists, and business product owners) to advance data analytics tools/features (such as predictive/ prescriptive algorithms and machine learning.
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The ideal candidate enjoys tackling challenges and excels at enabling insights for decision making using data-driven and physics-based modeling. Data analysis expertise and statistical or mechanistic modeling experience.
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Expertise in database science (including expertise in SQL), bigdata, columnar data warehouses, data warehouse design and management. Gala is at the forefront of creating innovative web3 experiences and deals with a large number of disparate entertainment products that are disrupting engagement in the web3 space with Games, Music and Film. This involves decision making that are data-critical with low failure tolerance and high usability.
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We are bridging OT (operational technology) and IT (information technology) to provide data-driven optimization of facility performance in liquid-related processes (e.g., changeovers, cleaning/flushing, Clean-in-Place optimization, real-time product & ingredient QA/QC, wastewater optimization.
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Conduct in-depth data analysis using Python, MATLAB, and relevant tools to address complex problems, define key performance indicators for autonomous vehicle systems, and effectively communicate analytical insights to stakeholders.
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With capabilities spanning technology, data science, supply chain management, fulfillment, customer service, and more, we help brands launch, scale and grow—across product categories and geographically.
$126,000 - $140,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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San Diego Community Power (SDCP) is seeking a seasoned Data Scientist to join our growing team of data transformation experts who will be responsible for collecting, organizing, and mining data to build AI and data science initiatives to deliver clean energy solutions that help our local and global communities.
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The Pirruccello lab is also part of the Bakar Computational Health Sciences Institute and the Institute for Human Genetics at UCSF, and the Data Scientist will be part of the larger computational community and infrastructure.
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Design and implement automated solutions for data normalization and taxonomy management using tools such as Python, R, SQL, and automation platforms. Gen3 is currently seeking a talented Data Scientist to join our team, dedicated to supporting the Internal Revenue Service (IRS) on the ISSM Vulnerability Compliance and Remediation Program.
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Experience working with cloud or on-prem Big Data/MPP analytics platform (i.e. SnowFlake, Netezza, Teradata, AWS Redshift, Google BigQuery, Azure Data Warehouse, or similar). 3+ years' of experience with workflow management engines (i.e. Airflow, Luigi, Prefect, Dagster, digdag.io, Google Cloud Composer, AWS Step Functions, Azure Data Factory, UC4, Control-M.
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Our products are trusted by leading companies including PayPal, Visa, FTX, Uniswap, Anchorage, and federal agencies such as the FBI and IRS. Every day, we tackle challenges in data engineering, data science, and threat intelligence to advance our mission to build a safer financial system for billions of people.
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Experience with distributed data and computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka. Experience with data warehousing using AWS Redshift, MySQL, or Snowflake.
$58,400 - $133,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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As the Data Scientist, you will use Google Cloud Platform (GCP) tools and technologies, such as Vertex AI and BigQuery, to build, deploy, and monitor scalable and robust machine learning solutions.
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Reporting to Dr David Levine, the Data Scientist will work across all phases of the research project, including extraction and organization of clinical and other data from a variety of information systems, automated data cleaning and verification, design, administration and construction of databases, analysis using valid statistical approaches, and development of new informatics and clinical tools.
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