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Data Scientist

Information Technology | Richmond, VA | Contract

Job 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

Location: Richmond, VA (onsite),In Person Interview.

Duration: 12 Months


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.

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.


Compensation

Compensation for roles at Beacon Systems Inc depending on a wide array of factors including, but not limited to, the specific office location, role, skill set, and level of experience.