Data Scientist 4 - Onsite + In Person Only-Richmond, VA -Need W2 Local to VA Only!!

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist 4, onsite in Richmond, VA, on a contract for 40 hours per week, with a pay rate of $50.00 - $63.00 per hour. Key skills include SQL, Python, AWS, machine learning, and data visualization tools.
🌎 - Country
United States
πŸ’± - Currency
$ USD
-
πŸ’° - Day rate
504
-
πŸ—“οΈ - Date discovered
June 8, 2025
πŸ•’ - Project duration
Unknown
-
🏝️ - Location type
On-site
-
πŸ“„ - Contract type
W2 Contractor
-
πŸ”’ - Security clearance
Unknown
-
πŸ“ - Location detailed
Richmond, VA 23219
-
🧠 - Skills detailed
#Azure #Microsoft SQL Server #Redshift #IAM (Identity and Access Management) #MS SQL (Microsoft SQL Server) #Data Lake #Spark SQL #Oracle #MySQL #SQL Server #Data Science #Spark (Apache Spark) #Lambda (AWS Lambda) #Tableau #Web Services #Tableau Desktop #Looker #Strategy #Athena #GitHub #Apache Spark #PySpark #SNS (Simple Notification Service) #SQS (Simple Queue Service) #Microsoft Power BI #VPC (Virtual Private Cloud) #Snowflake #HDFS (Hadoop Distributed File System) #PostgreSQL #Microsoft SQL #BI (Business Intelligence) #Data Pipeline #Visualization #GIT #ML (Machine Learning) #AWS (Amazon Web Services) #Big Data #SQL (Structured Query Language) #Cloud #Scripting #AWS EC2 (Amazon Elastic Compute Cloud) #Jupyter #Shell Scripting #RDS (Amazon Relational Database Service) #EC2 #Programming #XML (eXtensible Markup Language) #Python #S3 (Amazon Simple Storage Service) #JSON (JavaScript Object Notation)
Role description
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 Β· 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 Job Type: Contract Pay: $50.00 - $63.00 per hour Expected hours: 40 per week Benefits: 401(k) matching Life insurance Schedule: 8 hour shift Work Location: In person