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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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You will be involved in understanding digital asset trading and transaction data (across equities, commodities, fiat, cryptocurrency, etc.) As a data and implementations analyst, you will work closely with our Subject Matter Expert (SME), engineering and product management teams to understand and work across all areas of our public sector client solutions.
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Experience solving Big Data batch and real-time data processing problems, with large-scale analytics and data processing engines such as Apache Spark and Databricks. Knowledge of Python data science tools, such as SciKit, Numpy, TensorFlow, Jupyter.
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The Department of Homeland Security (DHS) is recruiting a Data Scientist in the Developmental Career Track to support a range of data science and artificial intelligence (AI) initiatives in the DHS Office of the Chief Information Officer (OCIO) Office of the Chief Data Officer Directorate.
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Link data sets from program risk profiles, program baselines, financial and/or grants data, Capital Planning and Investment Control systems, internal review boards, USA Spending, US Census bureau surveys, internal survey data, and other data sets that need to be linked together.
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Experience with distributed data and computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka. Experience with data warehousing using AWS Redshift, MySQL, or Snowflake.
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Strong mathematical background with strong knowledge in at least one of the following fields: statistics, data mining, statistics, operations research, econometrics, and/or information retrieval (image processing (OpenCV) and natural language processing is a plus.
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The Data Analyst will support the client by supporting data quality, visualization, analysis, and governance initiatives. As a Data Analyst on the team you will perform important functions in helping federal clients with a variety of data analysis initiatives and objectives to ultimately improve data quality and the availability of evidence overall.
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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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As a Data Scientist Intern at Big Tech Company, you will be responsible for establishing a data-driven culture of exploitation for our consumer products. Data Scientist Intern | Big Tech Company.
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The Data Security Engineer is responsible for providing subject matter expertise to the Chief Data Officer (CDO) Directorate and to support senior level leadership within the Office of the Deputy Chief Information Officer, Special Access Program Information Technology (DCIO SAP-IT.
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We are seeking a Senior Data Analyst to help develop MLT’s insights on advancing racial equity and socioeconomic mobility. Bachelors in mathematics, statistics, data science, or social science.
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Extracting data from CBRN-related modeling programs through post processing utilities to provide analysts user-friendly data tables and graphics to depict complexities such as toxicity effects over time, degradation of agent strength, and contaminated area coverage as a function of time.
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The Research Data Coordinator 2 is responsible for data management for phase I, II, and III oncology clinical trials conducted in the Lombardi Comprehensive Cancer Center (LCCC). Support all aspects of clinical research data management for clinical trials conducted in the LCCC Clinical Research Management Office (CRMO), including collection of data from source documents and medical records and completion of case report forms per sponsor requirements.
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Proficient working experience in data collection (e.g., API, web scraping), data processing, data modeling, data integration (e.g., end-to-end ETL pipelines), and database / data warehouse management (e.g., with Databricks / Snowflake.
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data job in Washington, DC
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