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Category: Data Management Job Type: Contract
Job ID Number: 10648 City/State: Richmond    VA
Job Title: Sr. Data Scientist with R/Python and Hadoop
Job Description: Location: Richmond, VA/ 12+ Months Contract

Looking for a Data Scientist using R/Python on Hadoop platform. Experience with cloud technologies(AWS, Azure, GCP, Snowflake) is big plus. Big Data Ecosystems is preferred - Hadoop, HDFS, Hive, Sqoop, Spark, pySpark, SparkR, SparkSQL, jupyternotebook and Zeppelinnotebooks

Local candidates strongly preferred.Currently Remote due to Covid, but will be required to be onsite in the future: Local Candidates Only
Only Green Card and US Citizen required

  • Education: Bachelors or higher preferred, Discipline: Computer Science, Information Systems, Mathematics

Skills and Experience:
  • At least 5 years of experience in Data Science using R/Python etc. on Hadoop platform.

  • Strong skills in statistical application prototyping with expert knowledge in R and/or Python development.

  • Design machine learning projects to address business problems determined by consultation with business partners.

  • Work on a variety of datasets, including both structured and unstructured data.

  • Deep knowledge of machine learning, data mining, statistical predictive modeling, and extensive experience applying these methods to real world problems.

  • Extensive experience in Predictive Modeling and Machine Learning: Classification, Regression & Clustering.

  • Understanding and experience working on Big Data Ecosystems is preferred: Hadoop, HDFS, Hive, Sqoop, Spark: pySpark, SparkR, SparkSQL, Jupyter & Zeppelin notebooks.

  • Understanding and/or Experience with data engineering is a plus.

  • Experience with cloud technologies(AWS, Azure, GCP, Snowflake) is big plus.

  • Create Interpretable visualizations that tell a story and paint a vision

  • This role provides technical consulting. Works as a Data Scientist works in Enterprise Data Analytics Team on their Big Data Platform and provides advanced analytics solutions to our Business users using the tools specified within the Qualifications section.

For expedited response, please contact Karan at 804-999-5641
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