Develop predictive modeling and machine learning solutions to complex business problems creating value for the business.
Requirements
- Must have proficiency writing complex SQL queries.
- Advanced hands-on experience with the Python data science stack.
- Track record of analytical projects covering all stages of the data science lifecycle.
- Strong understanding of quantitative approaches, their benefits, and their limitations.
- Proficiency with data mining, mathematics, and statistical analysis.
- Experience in pattern recognition and predictive modeling.
- Experience with cloud platforms like Google Cloud, AWS, or Azure.
Responsibilities
- Execute exploratory data analysis, data preprocessing, model development, model deployment and monitoring.
- Utilize machine learning techniques to improve customer segmentation, churn prediction, and personalized marketing efforts.
- Plan and execute analytical experiments to help solve business problems
- Propose solutions and strategies to business challenges
- Continuously refine and improve models based on feedback and changing business needs.
- Leverage advanced analytics techniques to develop deep knowledge of the customer experience, use data and analytics to optimize marketing campaigns, and develop strategies through insights to attract new customers and retain existing ones.
- Lead analytic approaches, integrating work into applications and tools with data engineers, business leads, analysts and developers
Other
- This role is hybrid.
- Bachelor’s degree required, MS or PhD preferred.
- Excellent interpersonal, communication, listening, and presentation skills.
- Excellent problem-solving skills and the ability to work independently as well as in a team.
- Fluent in English and French (spoken and written) required to collaborate with stakeholders in Quebec, Ontario, and across the United States.
