The organization is looking to leverage data-driven decisions to enhance operational processes and drive organizational growth.
Requirements
- Proficiency in Python and SQL for data analysis and model operationalization
- Experience with statistical and machine learning models in production environments
- Strong ability to visualize data and create compelling presentations
- Experience with troubleshooting code errors and familiarity with command line shells
- Knowledge of R and additional programming languages
Responsibilities
- Develop and implement custom models to inform business decisions and enhance operational processes
- Collaborate with cross-functional teams to provide analytical insights and share statistical outputs
- Monitor and analyze model performance, ensuring accuracy and transparency
- Challenge norms and propose novel insights to drive organizational growth
Other
- Mentor and train data scientists, fostering a culture of learning and innovation
- Excellent analytical and problem-solving skills with a customer-focused approach
- Ability to manage multiple projects and deliver results under tight deadlines
- Master’s degree in a quantitative discipline
