A company is looking for a Lead Data Scientist to join an End-to-End Optimization team focused on streamlining complex operational workflows.
Key Responsibilities
Own end-to-end data science solutioning including problem framing, data exploration, modeling, deployment, monitoring, and iteration
Build and enhance predictive analytics and ML models in Python to optimize workflow outcomes
Create monitoring and performance frameworks and translate findings into actionable recommendations
Required Qualifications
Advanced proficiency in Python and strong foundations in predictive modeling, machine learning, and statistical modeling
Proven experience delivering end-to-end, production data science solutions
Cloud experience in GCP, AWS, and / or Azure (GCP preferred)
Strong software engineering and coding practices
Experience in operations, logistics, or process optimization is highly valued
Lead Data Scientist • Alexandria, Virginia, United States