KeyLogic
Data Science Enablement
Location: Washington DC Clearance: Secret Clearance Required Salary Range: $90-160k + benefits KeyLogic is seeking a Data Science Enablement professional for potential work to empower the data science and analytics team for our federal client. You will deliver high-impact insights efficiently and at scale. This role will focus on optimizing workflows, driving collaboration, improving tooling and processes, and acting as a liaison between data teams and business stakeholders. Required Qualifications: Bachelor's degree in Data Science, Computer Science, Engineering, or a related field. 3+ years of experience in data science, analytics operations, program management, or a related enablement role. Familiarity with modern data science workflows, tools, and platforms (e.g., Jupyter, Git, Airflow, MLflow, Snowflake, dbt, etc.). Strong project management and organizational skills, ideally with experience using Agile methodologies or tools like Jira, Asana, or Trello. Excellent communication and stakeholder management skills. Comfortable working in a fast-paced, cross-functional environment. Preferred Qualifications: Prior experience as a data scientist or data engineer. Knowledge of MLOps or experimentation platforms. Experience with internal consulting or change management.
Location: Washington DC Clearance: Secret Clearance Required Salary Range: $90-160k + benefits KeyLogic is seeking a Data Science Enablement professional for potential work to empower the data science and analytics team for our federal client. You will deliver high-impact insights efficiently and at scale. This role will focus on optimizing workflows, driving collaboration, improving tooling and processes, and acting as a liaison between data teams and business stakeholders. Required Qualifications: Bachelor's degree in Data Science, Computer Science, Engineering, or a related field. 3+ years of experience in data science, analytics operations, program management, or a related enablement role. Familiarity with modern data science workflows, tools, and platforms (e.g., Jupyter, Git, Airflow, MLflow, Snowflake, dbt, etc.). Strong project management and organizational skills, ideally with experience using Agile methodologies or tools like Jira, Asana, or Trello. Excellent communication and stakeholder management skills. Comfortable working in a fast-paced, cross-functional environment. Preferred Qualifications: Prior experience as a data scientist or data engineer. Knowledge of MLOps or experimentation platforms. Experience with internal consulting or change management.