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Experience in writing queries (SQL, Python, R, Scala) as needed and experience with various data technologies such as Azure Synapse or SQL Server, Snowflake, Databricks. Experience in writing queries (SQL, Python, R, Scala) as needed and experience with various data technologies such as Azure Synapse or SQL Server, Snowflake, Databricks.
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Proficient in programming languages (Python, R, etc. This position encompasses a comprehensive analysis lifecycle, covering requirement gathering, activity execution, design planning, assessing master data set and complex data systems developing reports, troubleshooting data issues, and providing technical expertise in data storage structures, data mining, data cleansing and supporting ad-hoc requests related to data migration.
$70 - $79 an hourExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Practical programming experience in Python, R, Spark, SQL, and/or other data scripting languages (3 years preferred). Considerable experience using statistical computer languages (R, Python, SLQ, etc.
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Technical expertise regarding data models, database design, data mining, and segmentation techniques. Education and Experience: Bachelor's degree in relevant field (e.g., Data Science, Statistics, Computer Science.
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Scripting/coding in a modern language such as Python (pandas, numpy) or R. Working with dataframes. Ability to follow technical guidance from VDOT staff reporting to and working. Data Engineering skills (cleaning, preparation, validation.
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R / Python (only one required) The Data Quality Analyst is a member of the Data Management Team, reporting to the Director, Data and Quality. The Data Quality Analyst plays a critical role in ensuring that data users have the best possible data to use in shaping policies that affect the health and lives of all Virginians.
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The candidate should be familiar with data querying techniques in SAS and SQL. Familiarity with other programming languages such as Python, R or Java. Knowledge of data extraction tools such as Hive or HUE will be useful.
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Proficiency in statistical programming languages/applications (e.g., SAS, R, SPSS, STATA, Python) a plus. Proficiency in statistical programming languages/applications (e.g., SAS, R, SPSS, STATA, Python) a plus.
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Knowledge of Python, R, SQL, Stata, or other data handling & statistical analysis software. Knowledge of Python, R, SQL, Stata, or other data handling & statistical analysis software. Familiarity with subscription data tools like Lightcast/Emsi Developer/Analyst, Chmura, JobsEQ, LinkedIn Talent Insights, or similar labor and social profile data information services preferred.
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The client is seeking a skilled Data Analyst to join our team and play a crucial role in the Data Strategy project for establishing an enterprise data solution at the client. This position requires ON-SITE interviews and ON-SITE work.
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Ability to follow technical guidance from VDOT staff reporting to and working with. Model: Hybrid (3 days a week) Prior PL/SQL Development experience. Ability to see the big picture and not get bogged down in the details.
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Position also requires two (2) years of experience in each of the following: Agile methodologies or SAFe Software Development Principles; Designing data models and solutions for analytical and reporting use cases; Machine learning, statistical analysis, and predictive modeling; Python, R, and SQL; Hadoop, Hive, MySQL, and NoSQL; Tableau and Power BI; and Software development lifecycle.
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Hands on experience working on analytical platforms like SAS, R, Python, Azure ML. Practical hands-on experience with data technologies and Cloud Platform like Hadoop, Hive, Redshift, Big Query, Snowflake, Databricks, GCP and Azure.
$148,800 - $248,000 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Proficiency in tools like JMeter, Jenkins, Docker, Postman, Swagger, Nexus, Apigee, GitHub/GitLab, Java, Bash, Curl, XML, JSON, SQL, Python, Javascript, or AWS/C2S. Experienced Test Systems Engineers are key players in Application, System, and Integration Testing across NSG, ASG, and Federal Agencies, ensuring precision in GEOINT. This role centers on offering technical advisory support, embracing innovative AI R&D methods for Test and Evaluation (T&E) Automation and Verification of AI models.
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Must have two years' programming experience in at least two of the following: R, Python, SQL. Deep knowledge of Life Sciences Research and Early Discovery (R&ED ) data & analytics in Target Screening, Lead Optimization, Vaccines, Lab - Dry & Wet, Instrumentation, LIMS, CMC and other relevant areas.
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