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Support GDIT's FedCiv business areas by developing solutions to deliver capabilities, focusing on Data Science, Machine Learning, and emerging artificial intelligence (AI) capabilities. Programming:Languages: Familiarity or proficiency in languages commonly used in data science, like Python, R, or Scala.
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Using tools such as Snowflake and/or Databricks, they will also work with cutting-edge DevOps technologies, develop advanced analytics products, and apply data and statistical programming tools to enterprise data to advance and enable key mission outcomes within cloud environments (GCP, AWS, Azure.
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The incumbent must have an Associates degree in Mortuary Science from an ABFSE accredited program and a Bachelor's or higher degree from a regionally accredited college or university. To teach mortuary management courses, candidates should have a valid funeral director's license or its legal equivalent and have had sufficient specialized training and experience in funeral service practice to enable them to give proper instruction.
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Your expertise in ETL, DataBricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks will be essential in ensuring efficient data processing and analysis. Design, develop, and implement end-to-end data pipelines, utilizing ETL processes and technologies such as DataBricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks.
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BASIC QUALIFICATIONS: Bachelor’s degree in data science, computer science, information systems, mathematics, or a related field. PREFERRED QUALIFICATIONS: Master’s degree in data science, computer science, information systems, or a related field.
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The ideal candidate will have a strong background in data engineering, with expertise in Databricks, DevOps tools (Jenkins/Terraform), and data modeling concepts (3NF, Dimensional, Data Vault.
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Experience with distributed data and computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka. As a big data engineer at Booz Allen, you’ll implement data engineering activities on some of the most mission-driven projects in the industry.
$75,600 - $172,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Stay up-to-date with the latest advancements in data science, machine learning, and related fields, and apply them to improve existing processes and methodologies. Typically, this helps Gartner’s clients to execute on their strategic priorities, across all sectors, including:Digital Growth and TransformationApplications, Infrastructure and Security ModernizationSourcing and Spent OptimizationThe Role:You will help our clients navigate the complex world of modern AI, data science and analytics.
$184,000 - $248,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Develop scripts to manage and migrate infrastructure as code (IaC) using Python/Terraform or AWS CloudFormationImplement data governance policies and practices to ensure the accuracy, consistency, and security of organizational data.
$118,800 - $205,920Full-timeRemoteExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Conduct interviews with client stakeholders to assess current metadata management and data governance capabilities and refine use cases associated with metadata management, taxonomy, and ontology development.
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Lead the development and enhancement of a shared enterprise data environment that meets a diverse set of Analytics, Reporting, and Data Science federal requirements. 3+ years experience with Big Data technologies, such asApache Hadoop, Hive or Spark, Databricks and/or Snowflake.
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Architect and develop large-scale, distributed data processing pipelines using technologies like Apache Spark, Apache Beam, and Apache Airflow for orchestration. Proven expertise in Apache Spark, Apache Beam, and Airflow, with a deep understanding of distributed computing and data processing frameworks.
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The Regulatory Science Policy Specialist will set strategy and oversee policy, scientific, and outreach activities related to the reduction and replacement of animal tests required or conducted by regulatory agencies and companies.
$71,821 - $92,856 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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5+ years of experience with Distributed data and computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka. 5+ years of experience with data warehousing, including AWS Redshift, MySQL, or Snowflake.
$96,600 - $220,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Extracting information from the open-source and incorporating your findings into our platform, you will collaboratively work with the Data Ops and Data Science teams to identify, analyze and structure relevant new data products.
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Title: data science Company: Edf Renewables North America in Arlington, VA
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