Senior Data Scientist - Machine Learning
First seen by Alion on Sep 8, 2026.
What we're looking for :
- 10+ years of experience in a data scientist, ML engineer, or advanced analytics role.
- Strong foundation in statistics - hypothesis testing, regression, time series analysis, Bayesian methods.
- Advanced SQL - comfortable writing complex queries across large, multi-source datasets.
- Proficiency in Python or R for analysis, modeling, and automation.
- Experience with ML/statistical libraries (scikit-learn, statsmodels, pandas, NumPy, or similar).
- Experience with AWS data and ML services (SageMaker, Redshift, Athena, Glue, QuickSight, or similar).
- Hands-on experience with Tableau.
- Demonstrated ability to define metrics frameworks and build dashboards from scratch, not just maintain existing ones.
- Experience building anomaly detection or predictive models in a production or operational context.
Key Responsibilities :
- Architect and implement end-to-end machine learning pipelines to solve complex business problems, ensuring high model accuracy and production-grade reliability.
- Lead the development of predictive analytics models that provide actionable insights for stakeholders, directly impacting service delivery and operational performance.
- Design and execute advanced data mining and modeling strategies to extract meaningful patterns from large, unstructured datasets.
- Collaborate with engineering teams to integrate data-driven features into existing product ecosystems, enhancing the overall value proposition for our clients.
- Mentor junior data scientists and foster a culture of technical rigor, ensuring best practices in code quality, documentation, and model validation are maintained.
Skills
Data Science, Machine Learning, SQL, Python, R, AWS, Statistical Modeling