Data Scientist – Crystal City (DC Area)
Core
Build and operationalize machine learning pipelines, optimize pricing, and create dashboards for monitoring model metrics to support client business needs in sectors like Food, Banking, Aviation, and Manufacturing.
Role type
Senior Data Scientist (ML Engineering & Operations)
Builds
Scalable machine learning solutions, automated processes, and monitoring dashboards
Domain
Enterprise IT, Public Sector, Cloud Infrastructure
Deliverable
production ML models | dashboards & analysis
Required skills
Python, SQL, Machine Learning algorithms (Regression, SVM, Random Forest, etc.), Statistical analysis, Feature engineering, Cloud platforms (Azure, AWS, GCP), Data wrangling, Predictive modeling
Preferred skills
Data Science operations, Model deployment, Code sharing methodologies, Client engagement
Technologies
Azure, AWS, Google Cloud, MySQL, PostgreSQL, MongoDB, Power BI, Tableau, Jupyter Notebook, Grafana, Datadog, Sklearn, Numpy, Pandas, NLTK, Flask
Responsibilities
Create and operationalize machine learning pipelines, Optimize pricing strategies, Integrate cloud services, Create dashboards for model metrics, Coordinate with multiple teams, Standardize code and data sharing methodologies
Seniority
Senior, hands-on IC