Lead Data Scientist
ReignmarkcsContract
Required Skillset:
PythonRSQLdeep learningcomputer visionclusteringoptimizationNLP/LLMsXGBoostLightGBMGLMstree-based methods/GBMsH2OBayesian methodsregularization
Job Description
- Master’s or PhD in a quantitative field (PhD strongly preferred).
- Strong foundation in statistics and applied modeling—you can connect theory to practical, business-relevant solutions.
- Strong hands-on experience with modern modeling tools and methods, including:
- Python (strongly preferred) and/or R for statistical modeling
- SQL for large-scale data transformation and analysis
- GLMs and tree-based methods/GBMs (e.g., H2O, XGBoost, LightGBM); familiarity with clustering, Bayesian methods, regularization, and optimization is a plus
- Experience with AI (e.g., NLP/LLMs, deep learning, computer vision) applied to feature generation, model development, and business process improvement is helpful but not required.
- Ability to deliver results in real-world settings: structured problem-solving, experimental mindset, and pragmatic decision-making.
- Senior candidates must have a proven track record of end-to-end model ownership including shipping models into production, and improving them through monitoring, measurement, and iteration.
- Strategic Impact: See the direct business value of your models on core growth and profitability levers across the enterprise.
- High Visibility: Present directly to the Enterprise Chief Advanced Analytics Officer and other senior executives.
- End-to-End Ownership: Own solutions from data wrangling and feature engineering through model development, deployment, and monitoring in production.
- Innovative, Entrepreneurial Environment: Test new ideas quickly in an agile, responsive culture that embraces a “Do It Now” mindset with rigorous measurement and engineering discipline
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