Responsibilities:
Analyze complex datasets to identify patterns and trends for R&D projects.
Develop predictive and prescriptive models to enhance product development.
Collaborate with multidisciplinary teams to integrate data-driven insights.
Create and refine algorithms for experimental and research purposes.
Present research findings and actionable insights to stakeholders.
Requirements:
Proficiency in Python, R, and data visualization tools (e.g., Tableau, Power BI).
Strong understanding of machine learning and statistical techniques.
Experience in working with large and unstructured datasets.
Knowledge of research methodologies and experimental design.
Master’s or Ph.D. in Data Science, Mathematics, Computer Science, or related field.