Job Title : Data Scientist

client: State of Virginia

Location: 1401 E. Broad Street, Richmond, VA 23219

Start Date - 07/01/2025

End Date - 06/30/2026 (1+ Year Extension)

W2 Rate - $42.00/hr.

C2C Rate - $55.00/hr.

Years of Exp- 8+ years

Work Arrangement - Onsite

Note: Procurement Environment or Experience is a Must

Short Description-

Data Scientist (Skill level 3) for VDOT Professional Services Procurement Office;

Procurement Knowledge/experience Strongly Preferred.

On-Site Work and Interview.

Full 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 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.

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

Skills: looker,power bi,pyspark,cloudfront,hdfs,mysql,quicksight,kinesis,powershell,amazon web services (aws),xml,sql workbench,cloudwatch,json,snowflake,azure data lake,git,tableau desktop,hive,oracle,sqs,athena,redshift,rds,postgresql,jupyter notebooks,aws,s3,ec2,iam,sns,github,mapreduce,apache spark,vpc,python,ssh secure shell,emr,shell scripting,spark sql,lambda,route53,sql,microsoft sql server,tableau server,putty

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