Requirements
- Minimum of four years of professional experience in data science applications, machine learning engineering, or building data processing pipelines.
- Demonstrated skill in Python and SQL programming, along with experience using distributed data processing technologies such as Spark, Datab游戏副本s, or PySpark.
- Proven track record in designing, training, and deploying machine learning models using standard libraries and platforms including scikit-learn, TensorFlow, XGBoost, or MLflow.
- Solid grasp of methods for validating data quality, testing models, and assessing performance metrics.
- Hands-on experience creating data visualizations and conveying insights through tools like Tableau, Plotly, or Matplotlib.
- Exceptional ability to communicate technical findings clearly to stakeholders without technical backgrounds.
Nice to Have
- Exposure to MLOps practices, building APIs, and working in secure, cloud-hosted environments such as AWS, Azure, or Palantir Foundry.
Work Arrangement
Hybrid
Team
Multidisciplinary team
Other
Active DoD Secret security clearance or the ability to obtain one.
