Procurement Data Scientist

  • Richmond, VA
  • Posted 1 day ago | Updated 1 day ago

Overview

On Site
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - 12 Month(s)
No Travel Required

Skills

Procurement Data Scientist
ML
Statistical Modeling
Python
Shell/PowerShell
Tableau
Power BI
Looker
Jupiter
git
GitHub
Spark SQL
Hive
HDFS
MapReduce
Azure
AWS
VPC
IAM
Redshift
CloudWatch
Route53
CloudFront
Athena
Kinesis
QuickSight
Lambda
PostgreSQL
nowflake
Statistics
Virtual Private Cloud
Visualization
Windows PowerShell
Secure Shell
PySpark
RTR
Remote Desktop Services
Reporting
Research
Procurement
Microsoft SQL Server
Modeling
MySQL
Oracle
Predictive Analytics
Leadership
Decision-making
Deep Learning
Electronic Health Record (EHR)
JSON
Analytics
Amazon Redshift
Amazon Route 53
Amazon S3
Amazon SQS
Amazon Web Services
Shell
Shell Scripting
Snow Flake Schema
Statistical Models
Professional Services
Machine Learning (ML)
Management
Microsoft Azure
Microsoft Power BI
Apache Hive
Apache Spark
Big Data
Business Acumen
Collaboration
Algorithms
Amazon CloudFront
Amazon EC2
Amazon Kinesis
Amazon RDS
XML
Jupyter
Probability
Programming Languages
PuTTY
Public Sector
SQL

Job Details

Job ID: VA-765167

Onsite/Local Govt Procurement Data Scientist (15+) with ML, Statistical Modeling, Python, Shell/PowerShell, Tableau, Power BI, Looker, Jupiter, git, GitHub, Spark SQL, Hive, HDFS, MapReduce, Azure/AWS, VPC, IAM, Redshift, CloudWatch, Route53, CloudFront, Athena, Kinesis, QuickSight, Lambda, PostgreSQL and Snowflake experience

Location: Richmond, VA (VDOT)
Duration: 12 Months
Position: 1(2)
On-Site Work and Interview.

Skills:
Statistics and probability Required 7 Years
Database management Required 7 Years
Machine learning and deep learning Required 7 Years
Data Visualization Required 7 Years
Cloud Computing Required 7 Years
Interpersonal Skills Required 7 Years
Predictive Analytics Required 7 Years
Data Cleansing and Transformation Required 7 Years
Cross Functional Collaboration Required 7 Years
Business Intelligence and Reporting Required 7 Years
Statistical Modeling Required 7 Years
Experience utilizing these skills in public sector procurement environment Required 7 Years

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

Description:
Data Scientist (Skill level 4) for VDOT Professional Services Procurement Office(PSPO); Procurement knowledge / experience strongly preferred.

This Data Scientist position with the Professional Services Procurement Office will be an important member of the VDOT PSPO 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.

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.