The role involves partnering with business stakeholders to identify and prioritize opportunities where data science can provide measurable value. The professional will collect, clean, and transform data from various internal and external sources. They will develop, test, and deploy predictive models and machine learning algorithms to address specific business challenges. Additionally, the individual will conduct exploratory data analysis to uncover trends and patterns while communicating insights through visualizations and dashboards. The position requires collaboration with engineering teams to ensure model reliability, scalability, and performance. Finally, the role includes evaluating model accuracy and performing sensitivity analysis to assess robustness.

Candidates must hold a Bachelors or Masters degree in Data Science, Computer Science, Statistics, Mathematics, or a related discipline. A minimum of 3-5 years of experience in client-facing data science roles is required. Applicants need strong proficiency in Python or R, along with experience in statistical analysis and machine learning techniques. The role also demands the ability to translate complex analytical findings into practical business recommendations.