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Experience and understanding of Apache Spark and large-scale data processing. 7 years of experience in software development, data pipelines, data modeling, data profiling, data research, and data management.
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This could include a Master's or Ph. D. in Computer Science, ML, Data Science, or a related field, with a focus on machine learning or NLP. Strong programming skills in Python, with extensive experience in data analysis and machine learning libraries (e.g., NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch.
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Pipeline Maestro: Develop and maintain scalable data pipelines using tools like Databricks, Airflow, and DBT to ensure seamless data integration and transformation. Big Data Toolkit: Experience with Big Data Storage tools (e.g., Lakeview, Lakehouse, Redshift, Databricks.
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Reporting relationship to Asset Lead; Director, Group Lead; Associate Director, Asset Lead; Senior Manager, Asset Lead; Manager, Clinical Data Scientist, Clinical Data Sciences, CDS. Supports Study and Asset Teams across Pfizer Research and Development/Oncology Research and Development/Discovery and Early Development including Global Regulatory, Center of Excellence, Global Biometrics and Data Management and other internal organizations.
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Proven experience as a Business Intelligence Analyst, Data Scientist, Data Engineer, Data Analyst, Power BI Developer, or in a similar role. Certified in one or more of the following: Microsoft Power App Maker Certification, Microsoft Data Analyst Associate Certification, Microsoft Data Scientist Certification, and/or Microsoft Data Engineer Certification.
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The Data Scientist will work collaboratively with cross-functional teams, applying their technical skills to develop and optimize ML models for applications such as natural language processing, computer vision, and predictive analytics.
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Lead Data Strategy: Drive the development and integration of data science solutions within the USAF Mission Assurance Risk Management system, utilizing Palantir Foundry’s Envision platform.
$200,000 a yearFull-timeExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
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Resolve highly complex technical issues on Oracle Cloud, Postgres, and Exadata On-Prem platforms, spanning across database footprint including Exadata architecture, Real Application Clusters, High Availability, Data Guard, Corruption, Backup and Recovery.
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Peraton is seeking a Data Analyst to become part of Peraton's Department of State (DoS) Diplomatic Security Cyber Mission (DSCM) program providing leading cyber and technology security experience to enable innovative, effective and secure business processes.
$138,000 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Data Warehousing (e.g., AWS Redshift, Google BigQuery) Apache Hadoop or Apache Spark (for big data processing) Natural Language Processing (NLP) Tools and Frameworks (e.g., Hugging Face, AWS Comprehend Medical for extracting insights from clinical text data.
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Current certification as a Certified Tumor Registrar (CTR)/Oncology Data Specialist (ODS) by the National Cancer Registrars Association (NCRA) Prometheus Federal Services (PFS), a trusted partner to federal health and social services agencies, is seeking an Oncology Data Specialist (ODS) to support the Veteran’s Health Administration (VHA) in completing the VHA’s backlog of incomplete cases in suspense and performing case ascertainment, data curation and completing case submissions.
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Subcategory Big Data Engineer. Possess a minimum of five years of experience with full lifecycle and secure and automated development of at least one of the following data management, data analytics or Artificial Intelligence (AI), Machine Learning (ML.
$200,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Drive the adoption of best practices in data engineering, including the use of SQL, Snowflake, dbt, Python , and cloud platforms like Microsoft Azure. Oversee the design and management of scalable, secure data platforms, including SQL databases, Snowflake, dbt, Microsoft Azure , and other cloud-based solutions.
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Demonstrated understanding of data migration tools like Data Loader and ETL tools. Build large and complex data pipelines, integrate data coming from diverse sources in different formats and map data to specified Salesforce fields and maintain dynamic data integration solutions in cloud-based and hybrid environments.
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Experience or knowledge of QlikView, Qlik Sense, Azure Databricks, Azure Data Factory, Data Lake Analytics, SSRS, SSIS and Power BI is a plus. Experience with data visualization platform such as Microsoft Power BI, Tableau or DAX.
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Title: data Company: Insight Global in Washington, DC
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