Job Summary
The position involves designing, constructing, and enhancing machine learning models aimed at addressing significant challenges in the realm of large-scale, real-time digital performance analytics. The role requires collaboration with interdisciplinary engineering and product teams to effectively implement these models within production environments.
Responsibilities
- Develop and refine machine learning models to tackle complex real-world challenges.
- Optimize solutions for enhanced performance in digital analytics.
- Work closely with cross-functional teams to ensure seamless integration of models into existing systems.
- Conduct thorough testing and validation of machine learning solutions to guarantee reliability and effectiveness.
Qualifications
- A PhD in Computer Science or Statistics, or a Master’s degree with a minimum of 3 years of practical experience in applied machine learning.
- Strong understanding of traditional machine learning techniques, deep learning methodologies, and statistical modeling principles.
- Proficient in Python programming language.
