Lead research on integrating diverse data streams to drive product innovation, applying advanced machine learning and statistical techniques in a fast‑moving R&D environment.
About the role
Key Responsibilities
Design and implement experiments to evaluate new data sources for product and process improvement.
Develop predictive models and analytical frameworks using Python, R, and SQL.
Collaborate with cross‑functional teams to translate insights into actionable product enhancements.
Document methodologies, results, and best practices for internal knowledge sharing.
Stay current on emerging AI/ML techniques and industry trends.
Requirements
Master’s degree or higher in Computer Science, Statistics, Data Science, or related field.
3+ years of experience in data science or machine learning roles.
Proficiency in Python, R, and SQL for data manipulation and model development.
Strong statistical background and experience with supervised/unsupervised learning.
Excellent communication skills and ability to present complex findings to non‑technical stakeholders.