- Apply advanced statistical and machine learning techniques to extract insights and continually innovate modeling approaches.
- Identify and acquire diverse data sources, ensuring quality and relevance, and develop automated data pipelines for efficient integration.
- Create meaningful features to enhance model performance and apply domain knowledge and creativity to extract informative variables.
- Work on the end-to-end development of machine learning models and optimize model hyperparameters and architecture for superior performance.
- Identify opportunities for model and process optimization to enhance efficiency and effectiveness.
- Communicate insights effectively through data visualization tools and reports, developing clear and informative data visualizations for stakeholders.
- Collaborate with cross-functional teams to define data science requirements and deliver data-driven solutions aligned with business goals.
- Document analysis processes, model development, and findings for reference, ensuring reproducibility, and maintaining clear documentation standards.
- Manage multiple data science projects, ensuring timely delivery and aligning projects with current business objectives and priorities.
- Work with big data technologies such as Hadoop, Spark, and distributed computing frameworks to process and analyze large-scale datasets.
Minimum Education Requirement:- Bachelor’s degree in computer science, computer information systems, information technology, relevant engineering (computer engineering, software engineering, Electronics engineering, or related) or a combination of education and experience equating to the U.S. equivalent of a Bachelor’s degree in one of the aforementioned subjects.
