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Programming:Languages: Familiarity or proficiency in languages commonly used in data science, like Python, R, or Scala. Transform your career to the next level with GDIT as a Solutions Architect where you can elevate your skills in Data Science, Machine Learning, or leading AI techniques and technology expertise into solutions in support of our Government customers.
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Skilled in data visualization and use of graphical applications, including Microsoft Office (Power BI) and Tableau; major data science languages, such as R and Python; managing and merging of disparate data sources, preferably through R, Python, or SQL; statistical analysis; and data mining algorithms.
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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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Certification in big data technologies or cloud data services ● Knowledge of Qlik/Qlik Sense, QVD/QlikView, and Qlik Production Application Standards (QPAS) is a significant plus Benefits: Our client provides a comprehensive benefits package designed to support your health, financial well-being, and professional development.
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Required Qualifications Active TS/SCI Clearance #qinetiqclearedjobProficiency in common geospatial software applications and tools, such as visual programming (JEMA, FADE/MIST, ECO/ETAS), Python, SQL, Git, GIMS, A WS Sagemaker, A WS Cloud, ESRI ArcGIS, statistics (descriptive, Bayesian), Markov-Chain modelling, TensorFlow, Linear Algebra, R, SAS, NLP.3+ years of relevant experiencewith a bachelor’s degree.
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Demonstrated experience working with large data sets, survey dataset experience is a plus. Other Qualifications: Master’s degree in computer science, information systems, data science, analytics, statistics, economics, public health, biostatistics, epidemiology, social science, mathematics, or relevant field preferred.
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Experience in cloud environments with a blend of data science skills (remote sensing, physics, geospatial, imagery process, etc) and computer science understanding is a plus for this position.
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Minimum 4-year degree in statistics, mathematics, computer science or related field or possesses a minimum of 6 years of data analysis experience within the healthcare industry. Manipulates and extracts Medicare, Medicaid, and other healthcare claims data stored in Cloud environment using appropriate software such as SAS, Snowflake, Python, R, SQL, and other software as appropriate for the task.
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Bachelor's degree (master's degree desired) in related field required (preferably in Geography, Social or Behavioral Science, Computer Science, Information Systems, Math or Statistics, Earth or Geo Science, Life, Physical or Environmental Science, Engineering, Business, Data Science, Data Visualization.
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As a Data SME, your expertise in Data Science, Data Visualization, and Data Engineering will be pivotal in shaping the future of our data-driven capabilities.
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Working knowledge of statistical, query based, or data management software (e.g. SQL, SAS, R, Python, Tableau, Oracle OAC). Another Source’s client, Washington State University, is recruiting a Data and Strategy Analyst to join their team.
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Work with strategic analytics, data science, and data engineering personnel to evaluate and implement emerging solutions such as machine learning, artificial intelligence, and predictive analytics.
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MarketBridge is looking for a Data Science Engineer to support our Marketing Effectiveness solution. Analytics Expertise: Serve as a subject matter expert across our solutions offerings such as database marketing, marketing campaign reporting, investigative descriptive analytics, and propensity modeling while leading and individually contributing to analysis tasks including Excel, R, SQL, Python, and SAS.
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Masters degree in a highly quantitative and computational discipline (data science, statistics, computer science, mathematics, engineering, etc.) Proficiency in using Python or R for data science: data wrangling, statistical analysis, machine learning models.
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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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big data science a plus r jobs Company: Endeavor in Alexandria, VA
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