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Programming: Languages: Familiarity or proficiency in languages commonly used in data science, like Python, R, or Scala. Data Visualization: Visualization Tools: Libraries like Matplotlib, Seaborn (Python), ggplot2 (R), or tools like Tableau, PowerBI. Data Interpretation: Ability to interpret visualizations and convey findings.
$150ExpandApply NowActive JobUpdated 23 days ago - UpvoteDownvoteShare Job
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Develop new or utilize existing technology to build dynamic web applications or software tools for bioinformatics applications using R, Shiny and/or Python. This role will support the DTR IT team in creating complex technical projects including various web applications, dashboards, and data analytics related tools for DTR and CUP which integrate with OSISoft PI and Maximo asset management system.
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Extensive experience using the following programming languages: Python, TypeScript/JavaScript, Kotlin, Rust, R, SQL, Shell. - Extensive experience with data exploration exemplified by use of the following: pandas, R, SQL. Raster, OpenCV, Pillow, GDAL, Convolution, Vector: geos.
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Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake. The environment involves Batch Pipelines involving core technologies such as Scala, Python, Spark, EMR, Glue, Airflow, Step Functions, Delta, Uniform Catalog, Iceberg, DynamoDB amongst many others.
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4+ years of data warehousing experience (Redshift or Snowflake) 9+ years of experience in application development including Python, SQL, Scala, or Java. 5+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL.
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Experience with analytics tools like SAS, R, Python, and other advanced statistical software. The consultant will partner with our customers to understand and solve their data integration pain points with MarkLogic-based data management, search and analytics solutions.
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Databases; and programming in one or more of the following: Python, R, Spark, Matlab, Stata, C, Perl, or Java; AND. databases; and programming in Python with experience in one of the following: R, Spark, Matlab, Stata, C, Perl, or Java; AND.
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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 4 days ago - UpvoteDownvoteShare Job
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Big data concepts and technologies, such as: Apache Hadoop, Apache Hive, Solr, Cloudera, MapReduce, R, Spark, Kafka, NiFi, and the ELK (ElasticSearch, Logstash, Kibana) stackDevOps concepts and tools, such as: GitHub, JIRA, Maven, Jenkins, Chef, Ansible, Docker, ELK stack, Nexus, NagiosDatabase platforms, such as: Oracle, MySQL, NoSQL, Mongo DB, HDFSProgramming languages, and related web technologies, such as: Java, Javascript, Python, C#, C.
$69,287 - $172,075 a yearExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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High level of proficiency in Python, DataBricks, SQL, Spark, and other Data Engineering and DataScience tools. Desired Qualifications:- TS/SCI clearance is required- Minimum of 3 years of experience as a military Data Subject Matter Expert or related role, withdemonstrated experience with digital strategy, IT project management, enterprise architecture,SDLC (Software Development Life Cycle), or transformation.
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Experience in quantitative methods for social science and specialist quantitative skills, including open source intelligence tools, data visualization, database management (SQL), Python, Tableau visualization or other data analysis toolsets.
$100,000 - $120,000 a yearFull-timeExpandApply NowActive JobUpdated 30 days ago - UpvoteDownvoteShare Job
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In this role, you will leverage your expertise in Python, Natural Language Processing (NLP) techniques, algorithms and statistics, as well as your familiarity with US Department of Defense mission needs, to deploy, optimize, and evaluate innovative machine learning and algorithmic solutions in client environments.
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Experience in programming languages (e.g. Python, R, Scala, or Java). Provide technical expertise and guidance in AI/ML algorithms, data modeling, data engineering, and data governance and support the deployment across various domains (e.g., natural language processing, computer vision, predictive analytics.
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Proficiency in statistical software (i.e. R, Stata, SAS, SPSS, Python) and data visualization tools (i.e. Excel, Tableau, Power BI). The Data Analyst will primarily support the USAID’s Bureau for Global Health’s Office of HIV/AIDS, Strategic Information, Evaluation, and Informatics (GH/OHA/SIEI) Division as a Credence Institutional Support Contractor (ISC.
$150Full-timeExpandApply NowActive JobUpdated 30 days ago - UpvoteDownvoteShare Job
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We are seeking a highly motivated and strategic Senior Financial Analyst to join our R&D Strategic Finance Team. This role offers the unique opportunity to play a critical dual role, serving as a financial planning and analysis (FP&A) partner to R&D leadership and a strategic business operations partner to the entire R&D organization.
$150Full-timeExpandApply NowActive JobUpdated 1 month ago
python r data jobs Company: Ey in Washington, DC
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