Data Scientist
First seen by Alion on Sep 30, 2026.
About the Role:
We're looking for a Data Scientist to build the analytics and data science foundation for our ordering platform. You'll make the journey of orders from intake to result delivery visible, predictable, and self-correcting. This is a greenfield effort where you will deliver a self-sustaining analytics and data science layer.
What You'll Do:
- Define and build the metrics framework for the digital ordering pipeline.
- Design and deliver dashboards tracking order volume, throughput, turnaround times, error rates, and system stability.
- Build predictive models to forecast order failures, volume trends, and capacity needs.
- Develop automated anomaly detection to surface pipeline issues.
- Apply statistical methods for root cause analysis.
- Partner with engineering teams to instrument data collection.
- Translate complex technical findings into clear narratives for leadership.
- Investigate ad-hoc data questions and document metric definitions and model logic.
Requirements:
- 8+ years of experience in a data scientist, ML engineer, or advanced analytics role.
- Strong foundation in statistics (hypothesis testing, regression, time series, Bayesian methods).
- Advanced SQL skills and proficiency in Python or R.
- Experience with ML libraries (scikit-learn, statsmodels, pandas, NumPy).
- Experience with AWS data/ML services (SageMaker, Redshift, Athena, Glue, QuickSight).
- Hands-on experience with Tableau.
- Demonstrated ability to define metrics frameworks and build dashboards from scratch.
- Experience building anomaly detection or predictive models in production.
- Strong communication skills and experience synthesizing data from disparate sources.
Good to Have:
- Familiarity with healthcare, diagnostics, or lab operations.
- Experience with operational analytics and real-time/streaming analytics (Kinesis, Lambda).
Skills
Data Scientist, SQL, Python, Tableau, AWS, R, Data Analytics, Data Science