Data Scientist

Job Summary:

The Technology Data Scientist applies advanced analytics, machine learning, and data modeling techniques to support enterprise technology projects. This role involves designing, implementing, testing, and integrating technology solutions while transforming complex data into actionable business insights to drive informed decision-making. Responsibilities:

• Build and maintain machine learning models and analytical solutions.
• Analyze complex data using Python, R, SQL, and visualization tools.
• Support implementation, integration, and testing of technology platforms.
• Create test plans, integration plans, and training materials.
• Present insights and recommendations to stakeholders.

Required Skills & Certifications:

• Bachelor's degree in a related field.
• Strong experience with Python or R, SQL, and data analysis.
• Experience with machine learning, statistical modeling, and reporting.
• Knowledge of enterprise technology implementation and integration.
• Relevant IT platform or product training/certification.

Preferred Skills & Certifications:

• Experience with cloud platforms such as Azure, AWS, or GCP.
• Knowledge of MLOps, Spark, or Databricks.
• Familiarity with Git and Agile practices.

Special Considerations:

• Work involves supporting enterprise technology projects requiring coordination across teams.
• May require in-person collaboration and presentations to stakeholders.

Scheduling:

• Work location is Washington, DC.
• Interview type is in person.
• Specific work schedule and shift pattern not specified.