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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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Leading the design, build, migration, and testing of OneStream for multi-dimensional data models (dimensions, hierarchies, attributes); input template and report build; Data Integration and Extract Transform and Load (ETL) concepts; understanding of calcs (allocation, top-down spreading, currencies); and, workflow, data permissions and security.
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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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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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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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Build relationships with relevant internal stakeholders, including Recruiters, HRIS, Finance, People Analytics, and others to ensure alignment and proactive delivery of relevant TA data and analyses.
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data job Company: Salesforce Inc in San Francisco, MO, Wyoming
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