

Data Scientist
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist (4) in Richmond, VA, with a contract length of "unknown" and a pay rate of "unknown." Key skills include statistics, database management, machine learning, and public procurement experience. In-person work is required.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
June 10, 2025
π - Project duration
Unknown
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ποΈ - Location type
On-site
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
Virginia, United States
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π§ - Skills detailed
#Tableau #SQL (Structured Query Language) #Snowflake #GitHub #PySpark #SQL Server #PostgreSQL #Spark (Apache Spark) #Data Pipeline #Data Lake #AWS EC2 (Amazon Elastic Compute Cloud) #Data Cleansing #AWS (Amazon Web Services) #HDFS (Hadoop Distributed File System) #Jupyter #IAM (Identity and Access Management) #Python #Tableau Desktop #EC2 #Redshift #MySQL #Shell Scripting #ML (Machine Learning) #Web Services #Cloud #Lambda (AWS Lambda) #Data Science #VPC (Virtual Private Cloud) #Strategy #Apache Spark #Deep Learning #MS SQL (Microsoft SQL Server) #Azure #BI (Business Intelligence) #Microsoft SQL Server #Statistics #GIT #Big Data #Oracle #Looker #Microsoft SQL #"ETL (Extract #Transform #Load)" #Scripting #Athena #Spark SQL #Microsoft Power BI #SQS (Simple Queue Service) #XML (eXtensible Markup Language) #Database Management #SNS (Simple Notification Service) #JSON (JavaScript Object Notation) #Programming #RDS (Amazon Relational Database Service) #S3 (Amazon Simple Storage Service) #Visualization
Role description
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Data Scientist 4
1401 E. Broad Street, Richmond, VA 23219 | In person only| Onsite
Professional Services Procurement Office(PSPO); Procurement knowledge / experience strongly preferred.
Only Local to VA who can go in-person interview
Must have Skills
Statistics and probability
Database management
Machine learning and deep learning
Data Visualization
Cloud Computing
Data Cleansing and Transformation
Cross Functional Collaboration
Business Intelligence and Reporting
Statistical Modeling
Skills Specific to this Position:
β’ Provide expertise to agency on data-driven decision making and strategy.
β’ Provide expertise in specific areas, such as machine learning, predictive analytics using data and systems related to public procurement.
β’ Leading research projects, for advanced date mining, developing algorithms, or building data pipelines related to public procurement.
Tools and Technologies:
β’ Programming languages: SQL, Python, PySpark, Shell Scripting, PowerShell
β’ Data visualization: Tableau Desktop & Server, Power BI, Looker, Jupyter Notebooks
β’ 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
β’ Cloud platforms: Amazon Web Services (AWS), EC2, S3, RDS, VPC, EMR, SNS, IAM, Redshift, CloudWatch, SQS, Route53, CloudFront, Athena, Kinesis, QuickSight, Lambda.
β’ Statistical tools: Snowflake, Redshift, Oracle, MySQL, Microsoft SQL Server, PostgreSQL