Data Scientist

Overview

On Site
Depends on Experience
Contract - W2

Skills

BigD_DataScience

Job Details

Our government client is looking for an experienced Data Scientist on an onsite 12+ months renewable contract role in Richmond, VA.

Position – Data Scientist

Job description:
This Data Scientist position with the agency will be an important member of the agency team.  In this role, the Data Scientist collects and analyzes statistics and information from multiple sources to spot trends and to gain 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.  
Skills Specific to this Position:

  • Provide expertise to agency on data-driven decision making and strategy. 
  • Provide expertise in specific areas, such as machine learning, predictive analytics using data and systems related to public procurement.
  • Leading research projects, for advanced date mining, developing algorithms, or building data pipelines related to public procurement.  
Tools and Technologies:
  • Programming languages:  SQL, Python, PySpark, Shell Scripting, PowerShell
  • Data visualization: Tableau Desktop & Server, Power BI, Looker, Jupyter Notebooks
  • Other frameworks: git, GitHub, SSH Secure Shell, 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
Required/Desired Skills:
  • 7 Years of Statistics and probability Required
  • 7 Years of Database management Required
  • 7 Years of Machine learning and deep learning Required
  • 7 Years of Data Visualization Required
  • 7 Years of Cloud Computing Required
  • 7 Years of Interpersonal Skills Required
  • 7 Years of Predictive Analytics Required
  • 7 Years of Data Cleansing and Transformation Required
  • 7 Years of Cross Functional Collaboration Required
  • 7 Years of Business Intelligence and Reporting Required
  • 7 Years of Statistical Modeling Required
  • 7 Years of Experience utilizing these skills in public sector procurement environment Required

About Vector:
Vector Consulting, Inc., (Headquartered in Atlanta) is an IT Talent Acquisition Solutions firm committed to delivering results. Since our founding in 1990, we have been partnering with our customers, understanding their business, and developing solutions with a commitment to quality, reliability and value. Our continuing growth has been and continues to be built around successful relationships that are based on our organization's operating philosophy and commitment to ** People, Partnerships, Purpose and Performance - THE VECTOR WAY
www.vectorconsulting.com
“Celebrating 30 years of service.”
#LI-GK1

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.