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Expertise with Google Cloud Platform’s distributed Machine Learning, Data Science and Data Engineering tools (e.g. BigQuery ML, VertexAI, AutoML, Docker, Kubernetes, Kubeflow, Dataproc) As a Data Scientist, reporting into the Head of Data & Strategy at TRKKN North America (NA), you’ll focus on building scalable machine learning and AI products to help evaluate and optimize the business impact of our clients’ marketing investment.
$140,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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In depth knowledge of modern data technologies including Snowflake, RedShift, Azure SQL/Synaspe, Databricks or similar technologies. Extensive experience or knowledge of data visualization technologies such as Tableau, Power BI, Qlik and Spotfire.
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Experience with a widely-used investment portfolio management and data reporting tool such as Dynamo, Blackrock Aladdin/eFront, Bloomberg, Solovis, Caissa/Burgiss, and/or FactSet to measure the performance and risk of portfolios and to assist with the monitoring of current and prospective investments is required, although Dynamo-specific experience is not.
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Experience with Data Ops (VPCs, cluster management, permissions, Databricks configurations, Terraform) in Cloud Computing environments (e.g., AWS, Azure, GCP) and associated cloud data platforms, cloud data warehouse technologies (Snowflake/Redshift), and Advanced Analytical platforms (e.g., Dataiku and Databricks.
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You Have: 3+ years of experience in batch and streaming ETL using Spark, Python, Scala, Snowflake, or Databricks for Data Engineering or Machine Learning workloads. 3+ years orchestrating and implementing pipelines with workflow tools like Databricks Workflows, Apache Airflow, or Luigi 3+ years of experience prepping structured and unstructured data for data science models.
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Strong knowledge, experience, and fluency in a wide variety of tools including Python with data science and machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch), Spark, SQL; familiarity with Alteryx and Tableau preferred.
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Reading & writing data from/to Azire Blob stroage & Azure Synapse Gen2 storage using Azure Databricks services after receiving in different formats (e.g. csv, Parquet, Jason etc.) Very good knowledge in working with Azure Databricks services for data engineer.
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Experience with GCP data services (BigQuery; Dataflow; Data Fusion; Dataproc; Cloud Composer; Pub/Sub; Google Cloud Storage) Experience in in data technologies, such as relational databases, data warehousing, big data platforms (e.g., Hadoop, Spark), data integration (e.g., Informatica or Data Fusion), and cloud services.
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Expertise in SQL Server Management, Azure Data Factory Development, Databricks Engineering, Delta Parquet File Management, and SQL Server Integration Services. Develop and optimize Databricks notebooks for big data processing and analytics in Azure Databricks environments.
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Design and develop data architecture solutions utilizing Microsoft Azure services, including Azure Data Factory, Azure Data Lake, Azure SQL Database, Azure Synapse Analytics, Azure Databricks and Azure Analysis Services.
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Must be enrolled full time at a 4-year accredited university/college in a Computer Science, Computer Engineering, Data Science/Analytics, Data Visualization, Marketing Analytics, Math, Stats, Software Engineering, Information Systems, Systems Engineering or related degree.
$40.7 an hourFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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The candidate should have expertise in data modeling, SQL, Python, R, data warehousing, big data technologies, data pipeline construction, data quality, cleansing, version control, cloud services, machine learning, feature engineering, deep learning, and natural language processing.
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Possess an understanding of the mechanical, electrical, and fire life safety systems used in a data center environment including, but not limited to the following: electrical distribution and layout, Transformers, PLC’s, Generators, Switchgear, UPS systems, STS’, ATS’ PDU’s, Chilled Water Systems, CRAC/CRAH’s, Pre-Action Sprinkler Systems.
$40.9 an hourFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Provides training and support for IFF technical staff regarding data integration and synchronization. Strategic Insights leads IFF's knowledge gathering and sense-making and stewards a data-informed culture by growing, developing and nurturing IFF's data assets and supporting data-informed decision making and strategy for IFF, as well as our customers and the communities we serve.
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Other sources of data include Medicare and Medicaid claims, the IBM MarketScan® Research Databases, PCORnet, CAPriCORN, National Death Index (NDI), NIH National COVID Cohort Collaborative (NC3) and Epic Systems, among others.
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data job Title: baker in Chicago, IL
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