Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist with 8+ years of experience, focusing on procurement data analysis. The contract lasts from 07/01/2025 to 06/30/2026, with a pay rate of $42.00/hr (W2) or $55.00/hr (C2C). Onsite work in Richmond, VA is required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
440
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🗓️ - Date discovered
June 4, 2025
🕒 - Project duration
More than 6 months
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🏝️ - Location type
On-site
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📄 - Contract type
W2 Contractor
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Richmond, VA
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🧠 - Skills detailed
#AWS (Amazon Web Services) #Looker #SQL Server #Azure #IAM (Identity and Access Management) #SQS (Simple Queue Service) #BI (Business Intelligence) #S3 (Amazon Simple Storage Service) #Spark (Apache Spark) #Statistics #GitHub #Programming #Base #Tableau Desktop #Jupyter #Tableau Server #Microsoft SQL #MS SQL (Microsoft SQL Server) #Web Services #Microsoft Power BI #XML (eXtensible Markup Language) #Apache Spark #Snowflake #VPC (Virtual Private Cloud) #AWS EC2 (Amazon Elastic Compute Cloud) #Python #Cloud #PySpark #Shell Scripting #Oracle #Visualization #Big Data #Lambda (AWS Lambda) #EC2 #SNS (Simple Notification Service) #GIT #Redshift #Data Science #JSON (JavaScript Object Notation) #Athena #Scripting #Leadership #SQL (Structured Query Language) #Data Lake #Microsoft SQL Server #MySQL #PostgreSQL #RDS (Amazon Relational Database Service) #HDFS (Hadoop Distributed File System) #Tableau #Spark SQL
Role description
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
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
