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Your responsibilities will include: - Developing data visualization solutions using tools like Tableau, Power BI, and/or Qlik - Cleaning and reviewing data scripts using Python and other tools - Creating additional data visualization capabilities as needed - Ensuring data quality standards are met - Developing training materials - Analyzing current processes and suggesting improvements - Organizing and leading client meetings - Summarizing and presenting information and reports to the team.
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This role is a Contract role on assignment through Tailored Management at Roche in Tucson (Oro Valley and Marana sites), Arizona.
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Azure Integration: Work with Azure services such as Azure Data Factory, Azure Databricks, and Azure SQL Database for data integration, processing, and storage. We are seeking a skilled Data Engineer with extensive experience in DBT, Snowflake, and Azure, along with proficiency in Python and SQL. The ideal candidate will have a strong understanding of data modeling principles and a proven track record of developing robust data pipelines and architectures.
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This position will serve as Project Director and lead analyst overseeing and coordinating the data elements needed to fulfil the requirements of a newly awarded Federal State Maternal Health Innovation Program Grant.
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Enhance/Develop/Sustain current decision support tools or replacements along with internal and external portals using data/ tools such as Army VANTAGE, ADVANA, Microsoft Power Automate, data visualization tools (Tableau, Qlik, PowerBI), Python with data libraries of (PySpark, Pandas, NumPy), Structured Query Language (SQL), Statistical Analysis System (SAS), Oracle, Microsoft Azure, Microsoft Suite of products, machine learning methods, and other data analytics tools, as necessary.
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We integrate off-the-shelf and new development efforts to sustain and enhance Defense Intelligence Agency’s (DIA) National Media and Exploitation Center (NMEC) architecture by leveraging cloud-based computing, artificial intelligence (Al), machine learning (ML) and cross-domain transfer systems to provide cutting edge data exploitation, enrichment, triage, and analytics capabilities to Defense and Intelligence Community members.
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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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Coordinate data analyses and research efforts using CIR data with other units within BOI, DOHMH, and CDC. Works closely with DOHMH research scientists and technical staff to plan, develop, implement, and evaluate protocols and research related to CIR data quality assurance.
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Extensive hands-on experience implementing data migration and data processing using AWS services: VPC/SG, EC2, S3, AutoScaling, CloudFormation, LakeFormation, DMS, Kinesis, Kafka, Nifi, CDC processing Redshift, Snowflake, RDS, Aurora, Neptune, DynamoDB, Cloudtrail, CloudWatch, Docker, Lambda, Spark, Glue, Sage Maker, AI/Client, API GW, etc.
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Sidekick is an open source ETL framework for syncing data between SaaS tools (Salesforce, Zendesk, Notion, etc) to vector stores, a necessary step in building GPT powered applications. You ideally have a background in data engineering and should be just as comfortable making architectural decisions as implementing them in code.
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Working Knowledge of data pipeline and ETL tools (Apache Airflow, Databricks, Apache NiFi, Azure Data Factory, etc.) located at the Redstone Arsenal in Huntsville, AL. In your role as a Data Scientist, you will use statistical techniques to plan tests and analyze and interpret data.
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5 years of experience with Clarity PPM reporting, developing data dashboards, charts and datasets in Clarity. 5+ years in a Data Analyst and/or Data Scientist capacity. Evolve our data collection capabilities, analytics and reporting process as the business evolves and grows by optimizing strategies, implementing databases, and managing security, data sources and metadata.
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Skilled in programming languages like Python, R, SQL, and experience in working with data visualization tools like Tableau and Power BI. Experienced in working in AWS with AWS data and analytics services, such as RDS, DynamoDB, Redshift, Aurora, S3, and Database Migration Service (DMS.
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General Experience in developing with Microsoft SQL Server Reporting Services, Microsoft Power BI or other major end-user data access toolset (Preferred) The Data Warehouse Developer plans, designs, builds, tests and deploys data warehouse and data mart solutions to support the clinical, and administrative activities at Temple University Health System.
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Fox Cable Network Services, LLC seeks a Data Scientist to utilize background in data analysis, data visualization and machine learning/artificial intelligence to build and implement solutions and utilize the best practices to keep FOX ahead of game.
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Title: data Company: Hoffmann La Roche
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