
Senior Predictive Modeler
8 hours ago
The Data Scientist will be responsible for designing, developing, and optimizing predictive models to address business challenges. They will collaborate with product managers, domain experts, and engineers to comprehend requirements and convert them into actionable data science solutions.
Main Responsibilities:- Design, develop, and optimize supervised, unsupervised, and deep learning models for various business problems.
- Process, transform, and analyze structured and unstructured data; identify key features.
- Create end-to-end AI pipelines and integrate models into production systems using APIs or deployment frameworks.
- Monitor model performance (e.g., RMSE, F1 score, ROC AUC), and prepare technical documentation and reports.
- Stay current with the latest AI/ML techniques (e.g., LLMs, transformers, reinforcement learning) and suggest innovative applications.
- Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or related field
- 4-6 years of hands-on experience in: Python, R, SQL Machine Learning frameworks (e.g., Scikit-learn, XGBoost, LightGBM) Deep Learning (e.g., TensorFlow, PyTorch, Keras) Data manipulation and visualization (e.g., Pandas, NumPy, Matplotlib, Seaborn) Model deployment tools (e.g., Flask, FastAPI, Docker, MLflow) Experience with cloud platforms (AWS/GCP/Azure) and MLOps tools Familiarity with large-scale data processing (e.g., Spark, Dask)
- Strong analytical and communication skills
- Nice to Have Experience in industry-specific AI applications (e.g., fintech, healthcare, retail) Contribution to open-source projects or ML competitions (e.g., Kaggle) Certifications in Data Science / AI from recognized platforms
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