Data Scientist at Radiant Digital
Richmond, VA 23225, USA -
Full Time


Start Date

Immediate

Expiry Date

09 Sep, 25

Salary

0.0

Posted On

10 Jun, 25

Experience

6 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Cloud Services, Spark, Power Bi, Tableau, Python, Looker, Statistics, Sql Server, Hive, Communication Skills, Analytics, Computer Science, Powershell, Sql, Databases, Business Acumen, Shell Scripting, Data Science, Procurement

Industry

Information Technology/IT

Description

ABOUT RADIANT DIGITAL, INC

Radiant Digital, Inc, delivers Program Management, Science, Engineering, and Technology Solutions to Federal, Commercial State, and Local Agencies. We are a subsidiary of Radiant Digital Services. We have a vast portfolio of clients across the country. Our Technology supports many DoD Agencies, NASA, Voice of America, FDA, and State Agencies such as State of FL, RI, MS, ND, VA, and WV extends our delivery of solutions worldwide.
Position: Data Scientist

MINIMUM QUALIFICATIONS

  • Bachelor’s degree in a quantitative field (e.g., Data Science, Statistics, Computer Science).
  • 3–6 years of experience in data science or analytics, preferably in procurement.
  • Proficient in SQL, Python, PySpark, Shell Scripting, PowerShell.
  • Experience with data visualization tools (Tableau, Power BI, Looker) and big data platforms (Spark, Hive, Azure Data Lake).
  • Familiarity with AWS cloud services and databases (Snowflake, Oracle, MySQL, SQL Server).
  • Strong communication skills and business acumen in procurement.
  • Ability to lead projects and work collaboratively in a hybrid environment.
Responsibilities
  • Analyze procurement data to identify trends and provide actionable insights.

  • Communicate findings to business and IT leaders to support decision-making.

  • Lead data mining, algorithm development, and build data pipelines for procurement analytics.
  • Design and maintain complex data processes and large datasets.
  • Apply machine learning and predictive analytics to procurement data.
  • Develop dashboards and visualizations using Tableau, Power BI, and Looker.
  • Ensure data quality, governance, and compliance.
  • Collaborate with stakeholders to define analytics requirements and improve procurement strategies.
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