Sr Data Sc

Greenwood Village, CO - USA

Monthly Salary: Not Disclosed

Posted on: Yesterday

Vacancies: 1 Vacancy

Job Summary

Advanced Data Science & ML Expertise Strong hands-on experience with regression classification tree-based models clustering time series and recommendation systems.
Programming & Data Handling Proficiency in Python (pandas NumPy scikit-learn PySpark) and advanced SQL for large-scale data processing.
LLMs & RAG Experience Practical experience building LLM-powered solutions prompt engineering and retrieval-augmented generation pipelines.
Statistics & Experimentation Deep understanding of hypothesis testing causal inference A/B testing and evaluation metrics (ROC AUC precision/recall).
End-to-End Model Deployment Ability to take models from prototype to production including monitoring governance and performance tracking.

Secondary Skills (Nice-to-Have / Enhancing Skills)

Data Visualization & Storytelling Experience with tools like Tableau Power BI or Looker and ability to communicate insights to executives.
Cloud & MLOps Tools Familiarity with platforms such as AWS Databricks MLflow feature stores and model registries.
Domain Knowledge (Customer Analytics) Experience in churn retention lead scoring or customer lifecycle analytics in enterprise environments.
Responsible AI & Explainability Knowledge of SHAP LIME bias mitigation and model governance frameworks.
Leadership & Business Acumen Ability to mentor junior team members and align data science solutions with business KPIs like revenue and customer experience

Advanced Data Science & ML Expertise Strong hands-on experience with regression classification tree-based models clustering time series and recommendation systems. Programming & Data Handling Proficiency in Python (pandas NumPy scikit-learn PySpark) and advanced SQL for large-scale data pro...