Data Scientist (Ref: 17527)

Position: Data Scientist (Ref: 17527)
Location: Richmond, VA USA, 23219
Salary: $58.00/hr
Duration: 1 Years 0 Months 22 Days - Contract
Openings: 1
Deadline: 06/16/2025

Description:
Local Candidates
Onsite

We are seeking a Data Scientist position that 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 communicate informed conclusions and recommendations across an organization's leadership structure.

Roles and Responsibilities:
Strategizes and identifies unique opportunities to locate and collect new data, explores and mines data from many angles, and determines what it means.
Communicate 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.
Provide expertise in 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

Required / Desired Skills
Statistics and probability Required - 7 Years
Database management Required - 7 Years
Business Intelligence and Reporting Required - 7 Years
Machine learning and deep learning Required - 7 Days
Data Visualization Required - 7 Years
Cross Functional Collaboration Required - 7 Years
Cloud Computing Required - 7 Years
Interpersonal Skills Required - 7 Years
Data Cleansing and Transformation Required - 7 Years
Predictive Analytics Required - 7 Years
Statistical Modeling Required - 7 Years
Experience utilizing these skills in public sector procurement environment Required - 7 Years