[EAF] Senior Data Science Engineer
Core
Develop and implement data-driven solutions, predictive models, and visualizations to address complex business requirements and generate actionable insights.
Role type
Senior Data Science Engineer
Builds
Production ML models, data visualizations, dashboards, and reports
Domain
Data Science, Machine Learning, Statistical Modeling, MLOps
Deliverable
production ML models | dashboards & analysis
Required skills
Statistical Inference, Machine Learning, Model Validation & Evaluation, NLP, Data Management, Data Modelling & Design, Machine Learning Model Deployment, MLOps / ML Lifecycle Management, Large Language Models (LLMs), Vector DB, Python, R
Preferred skills
Excel / Office Applications, data presentation, business-facing analytics
Technologies
Scikit-learn, Pandas, TensorFlow, PyTorch, Keras
Responsibilities
Develop statistical models and machine learning algorithms to identify trends and patterns; Design and build data visualizations, dashboards, and reports; Perform exploratory data analysis and feature engineering; Apply advanced statistical techniques to solve classification, regression, and clustering problems; Validate model performance and ensure reliability through rigorous testing; Contribute to technical design reviews; Support team members by sharing knowledge and participating in peer code reviews.
Seniority
Senior, hands-on IC