Senior Data Scientist

Tasks

• Analyze complex datasets
• Automate model deployment monitoring and retraining
• Build and optimize predictive models
• Build time series forecasting solutions
• Communicate insights to technical and non-technical stakeholders
• Develop clustering models
• Develop recommendation systems
• Ensure model governance and fairness
• Explore GenAI and LLM based document analysis and knowledge retrieval
• Integrate data driven solutions into production systems
• Lead and mentor junior data scientists
• Translate results into business KPIs
• Write SQL queries for data analysis and modeling
• Write clean, maintainable Python code

Perks/Benefits

• Career advancement
• Professional development

Skills/Tech-stack

ARIMA | Airflow | Clustering | Collaborative Filtering | Content-Based Filtering | Content-based | Deep learning | Gaussian Mixture Models | Hybrid recommendation | K-Means | Keras | Kubeflow | LSTM | MLflow | Machine Learning | Mixture models | Prophet | PyTorch | Python | Random Forest | SQL | Scikit-learn | Series analysis | Support Vector Machine | TensorFlow | Time Series | Time Series Analysis | XGBoost