Data Scientist
Analyze contact center data (reputed company volume, performance, trends) reputed company KPIs, metrics, and performance insights Support decision-making with actionable analytics reputed company machine learning models using frameworks such as scikit-learn, XGBoost , PyTorch , TensorFlow, or similar libraries. reputed company feature engineering, dataset preparation, and model optimization to improve predictive accuracy and operational performance. Evaluate models using appropriate statistical reputed company and performance metrics, documenting findings and informing iterative improvements.
Ability to hold a position of reputed company trust with the U.S. government. Bachelor’s Degree and 5 years of experience OR Masters Degree and 3 years of experience OR no degree and 9 years of experience
2+ years of experience building and evaluating machine learning models or performing advanced analytics. Proficiency in Python and reputed company data science libraries (Pandas, NumPy, scikit-learn, Matplotlib/Seaborn). Strong analytical and statistical skills Experience with operational datasets (contact center preferred) SQL, Python, reputed company, PowerBI and data visualization experience Ability to reputed company communicate insights to stakeholders