Data Scientist

Neighbourly Pharmacy

Neighbourly Pharmacy is the largest and fastest-growing community pharmacy network in Canada, with over 300 locations. Recognized among Canada's Best Managed Companies, Neighbourly Pharmacy emphasizes exceptional patient care and growth opportunities for staff. The Business Analytics team is expanding, necessitating a skilled Data Scientist to support the company's growth and strategic planning.

In this role you can expect to have the responsibilities:

• Collect, clean, and assess merchandising data for optimizing planograms, pricing, and procurement.
• Build predictive models and machine learning algorithms for enhanced product placement and pricing strategies.
• Transform complex data into actionable insights for merchandising and procurement efforts.
• Develop and maintain interactive dashboards and reports using visualization tools like MicroStrategy.
• Collaborate with merchandising, procurement, and IT teams to ensure data integrity and requirement definition.
• Effectively communicate findings and impacts on merchandising strategies to stakeholders.
• Implement data validation processes and monitor model performance for accuracy.
• Stay informed on industry trends and retail analytics best practices.

This role comes with the following benefits:

• Equal opportunity employment with a commitment to accessibility and equality.
• Accommodation available upon request for applicants with disabilities.

This role requires you to have:

• Bachelor's degree in Statistics, Mathematics, Computer Science, or related field.
• 2–3 years of experience in data science, preferably in retail merchandising.
• Proficiency in Python or R for data analysis and model development.
• Strong SQL skills and experience with large datasets.
• Familiarity with visualization tools, particularly MicroStrategy.

You would benefit from having:

• Master's degree in a quantitative field.
• Exposure to consumer products.

Neighbourly Pharmacy prides itself on being an equal opportunity employer, committed to providing accessibility and equality. Accommodations for disability are available on request during the recruitment process and when hired.