Skills highlighted in blue are preferred key skills
1. Develop statistical and machine learning models to solve business problems using structured and unstructured datasets.
2. Perform data exploration, cleaning, feature engineering, and transformation to create reliable analytical datasets.
3. Build forecasting, predictive, classification, or optimization models based on the needs of the business domain.
4. Use Python and SQL to extract, manipulate, analyze, and validate data from multiple sources.
5. Evaluate model performance using appropriate statistical measures and communicate findings with clear business interpretation.
6. Collaborate with data engineers and business stakeholders to define analytical requirements and productionize solutions.
7. Document methodologies, assumptions, experiments, model limitations, and recommendations for technical and non-technical audiences.
8. Continuously evaluate new machine learning, generative AI, and analytics techniques that can improve decision-making.
Full-time opportunity for a Principal Data Scientist with 5–7 years of experience, focused on Predictive Modeling, Advanced Analytics, Machine Learning.
Freelancer