Data Scientist at Seneca Resources
Interview Preparation Plan
As a Data Scientist at Seneca Resources, you will be instrumental in leveraging advanced analytics, machine learning, and AI to enhance user experience and optimize business performance across digital platforms. This role involves collaborating with senior data scientists and business partners to design and deploy predictive models and data-driven solutions. You will work with complex datasets to forecast trends, understand customer behavior, and improve digital engagement, with a potential focus on financial services or banking products to improve customers' financial health and digital experience. Your contributions will involve developing and maintaining scalable data pipelines and model training processes, applying a range of machine learning and statistical techniques, and translating complex data findings into actionable insights and business recommendations. You will also be responsible for communicating technical results clearly through visualizations, storytelling, and presentations, and working independently on assigned projects while contributing to team initiatives. This role requires a blend of technical expertise and the ability to translate data into strategic business value.
Key Responsibilities
- Design, develop, and deploy predictive models and AI solutions that enhance digital offerings.
- Develop and maintain scalable data pipelines and model training processes using Python, SQL, and modern data platforms.
- Apply a range of machine learning and statistical techniques (e.g., logistic regression, random forest, XGBoost, neural networks, NLP, clustering, time series forecasting).
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