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Basic knowledge of 3D visualization, data visualization, illustration, UI/UX design, web design, and/or coding. Transform complex transportation analysis into intuitive visuals for a broad range of applications, including data visualization, maps, final reports, presentations, and community engagement.
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Leading core Accounting areas including Performance Management (executive dashboards management reporting, planning, budgeting & forecasting, analytics & decision support); Record-to-Report (financial close, consolidation, financial reporting, Fixed Assets, Inventory, Payroll); Order-to-Cash (order entry, customer credit, invoicing, accounts receivable, collections); and, Procure-to-Pay (procurement, accounts payable, invoicing.
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BS, MS, or PhD degree in Computer Science, Data Science, Economics, Statistics, Mathematics, Physics, Computational Biology or equivalent experience. You have a strong background in data science, machine learning, graph mining, and graphical modeling algorithms.
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As we continue to expand, we are seeking an experienced Principal Data Engineer with expertise in data engineering and AI/ML. In this key role, you will take ownership of driving innovation and leading the technology strategy for modern data platforms across data warehouse, tooling, integrations, and AI/ML. You will collaborate with cross-functional leaders to deliver impactful data solutions that directly influence our business outcomes.
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Experience deploying and maintaining pipelines (AWS, Docker, Airflow) and in engineering big-data solutions using technologies like Databricks, S3, and Spark. Feature Engineering and Optimization: Develop and maintain ETL pipelines using orchestration tools such as Airflow and Jenkins; deploy scalable streaming and batch data pipelines to support petabyte scale datasets.
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Experience with data visualization tools such as Tableau, MixPanel, Google Looker. The Data Scientist will formulate Glo's data strategy and work with the Data Engineer to implement the appropriate architecture and execute on the strategy.
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If you are a driven, detail-oriented data scientist with experience in model risk management (OCC standards), who thrives on building and deploying complex machine learning models at scale, we'd love to hear from you.
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Use your criminal investigative and financial experience or your bachelor’s degree or higher with accounting and related coursework to qualify for an entry-level IRS Criminal Investigator (Special Agent) employment opportunity.
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Snowflake or similar - knowledgeable on data warehouse, basic understanding of data engineering, and conversion to data visualization platforms. Additionally, you will collaborate with IT and the Cost Manager to resolve data integration challenges, perform quality checks, and provide actionable insights through cash flow forecasting and variance analysis.
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1+ Years experience with big data technologies such as Spark, Hadoop, BigQuery, or Redshift. AssemblyAI is a remote-first AI company building powerful deep learning models for developers, startups, and enterprises to transcribe and understand their audio data.
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Knowledge of Artificial Intelligence, Data Science, Big Data, Business Intelligence, Data Integration, Blockchain, and Distributed Ledger Technologies. Bachelor's degree in a technical discipline, ideally including data science and machine learning.
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Extensive outside Sales experience in a technical sales environment, ideally from the integrated security, networking/data cabling and/or commercial audio-visual industries. Own the creation of your annual sales plan and develop your strategic approach for your market to increase sales in all company service offerings including integrated security, networking/data cabling, and/or commercial audio-visual.
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This Senior Software Engineer will flex their skills on complex platform architecture, coding, and reliability on a platform with low latency, real-time microservices and streaming data to process and protect substantial data volumes and millions of users.
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The Computational Genetics team is seeking a full-time Computational Biologist who will guide strategic initiatives and directly contribute to identifying and extracting biological insights from high dimensional multi-omics data.
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Experience with data engineering tools (e.g. dbt, Airflow, Airbyte) or data lake platforms (e.g. Snowflake, Databricks) Experience using data visualization tools and SQL to build and operationalize security metrics (e.g. Apache Superset, Tableau, Domo, Amazon QuickSight.
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data entry jobs Company: Nanonets in San Francisco, MO, Wyoming
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