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Job Requirements of Data Scientist 3:
-
Employment Type:
Contractor
-
Location:
Richmond, VA (Onsite)
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Data Scientist 3
Careers Integrated Resources Inc
Richmond, VA (Onsite)
Contractor
Immediate Opening
Title: Data Scientist 3
Location: Richmond, VA 23219 United States (Onsite)
Interview process: In Person Interview only
Job Type: Contract
Job Duration: Approx. 12+ months (High possibility of an extension)
Job Description:
Tools and Technologies:
Title: Data Scientist 3
Location: Richmond, VA 23219 United States (Onsite)
Interview process: In Person Interview only
Job Type: Contract
Job Duration: Approx. 12+ months (High possibility of an extension)
Job Description:
- This Data Scientist position with the Professional Services Procurement Office will be an important member of the team. In this role, the Data Scientist collects and analyzes statistics and information from multiple sources to spot trends and to Product maximum insight that can give the company a competitive advantage and communicates informed conclusions and recommendations across an organization's leadership structure. Strategizes and identifies unique opportunities to locate and collect new data, explores and mines data from many angles, and determines what it means. Communicates data findings to both business and IT leaders to influence how an organization approaches and meets business challenges of an evolving customer base and changing marketplace, using strong business acumen. Finds and recommends new uses for existing data sources; designs, modifies, and builds new data processes; and builds large, complex data sets.
- In addition to standard knowledge, skills and abilities for a Data Scientist, the successful candidate for this role will have experience and knowledge of procurement, preferably professional services procurement and the data related to this business need as well as procurement related reporting systems and technology.
Tools and Technologies:
- Programming languages: SQL, Python, PySpark, Client Scripting, PowerShell
- Data visualization: Tableau Desktop & Server, Power BI, Looker, Jupyter Notebooks
- Other frameworks: git, GitHub, SSH Secure Client, Putty, XML, JSON, SQL Workbench
- Big data platforms: Apache Spark, Spark SQL, Hive, HDFS, MapReduce, Azure Data Lake
- Cloud platforms: Amazon Web Services (AWS), EC2, S3, RDS, VPC, EMR, SNS, IAM, Redshift, CloudWatch, SQS, Route53, CloudFront, Athena, Kinesis, QuickSight, Lambda.
- Statistical tools: Snowflake, Redshift, Oracle, MySQL, Microsoft SQL Server, PostgreSQL
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