Data Scientist

Overview

On Site
BASED ON EXPERIENCE
Contract - Independent
Contract - W2

Skills

Decision-making
Machine Learning (ML)
Predictive Analytics
Research
Algorithms
Procurement
Programming Languages
Python
PySpark
Shell Scripting
Windows PowerShell
Data Visualization
Tableau
Microsoft Power BI
Jupyter
Git
GitHub
Secure Shell
PuTTY
XML
JSON
Big Data
Apache Spark
SQL
Apache Hive
HDFS
MapReduce
Microsoft Azure
Data Lake
Cloud Computing
Amazon Web Services
Amazon EC2
Amazon S3
Remote Desktop Services
Amazon RDS
Virtual Private Cloud
Electronic Health Record (EHR)
Amazon SQS
Amazon Route 53
Amazon CloudFront
Amazon Kinesis
SANS
Snow Flake Schema
Amazon Redshift
Oracle
MySQL
Microsoft SQL Server
PostgreSQL

Job Details

Data Scientist
Richmond, VA - Onsite
In-person interview - Locals only

State of VA: 765167

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
* 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

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.