Senior Data Scientist in Multiple locations at Kyara Consulting (

: A. Machine learning & advanced analytics: 1. Design, develop, validate, and deploy machine learning and statistical models for business-critical applications. 2. Build supervised and unsupervised learning models, including regression models, classification models, clustering algorithms, and neural network/deep learning models. 3. Develop predictive modeling solutions for customer behavior, risk scoring, demand forecasting, fraud detection, recommendation systems, and operational optimization. 4. Build anomaly detection frameworks for identifying unusual patterns, fraud, operational deviations, or system failures. 5. Design and implement forecasting models using time-series techniques for sales, inventory, demand, and operational planning. 6. Work on AI/GenAI-driven use cases leveraging Large Language Models (LLMs), prompt engineering, and intelligent automation solutions. B. Data processing & feature engineering: 1. Work with large-scale structured and unstructured datasets. 2. Perform exploratory data analysis (EDA), data cleaning, transformation, and feature engineering. 3. Build scalable data pipelines and reusable ML workflows. 4. Optimize model performance using hyperparameter tuning and model evaluation techniques. C. Model deployment & MLOps: 1. Collaborate with engineering teams to deploy ML models into production environments. 2. Monitor model performance, drift, and retraining strategies. 3. Implement model versioning, experimentation tracking, and automation workflows. D. Collaboration & stakeholder management: 1. Partner with business stakeholders to understand business problems and convert them into analytical solutions. 2. Present insights, findings, and recommendations to technical and non-technical audiences. 3. Work cross-functionally with data engineers, product managers, business analysts, and software developers. .