Data Science Leader
hace 2 semanas
At British American Tobacco, we are driving transformation in the industry through innovation and digitalization. We're seeking an experienced Data Science Leader to join our team in Mexico, working closely with our Canada-based Insights & Foresights BI team.
About the RoleThis is a senior position that will combine technical expertise with business acumen to drive data-driven decision making across the Canadian business unit. The successful candidate will manage a team of 4 personnel, comprising 2 data analysts, 1 data engineer, and a data science executive.
- Build and improve visual tools for application development and data science to enable users to create end-to-end applications quickly.
- Supervise the POS & VAPS data process to ensure OTIF delivery of performance reporting.
- Design core elements and properties by understanding software requirements, constraints, interfaces, and dependencies.
- Create and establish data pipelines to provide accurate and timely insights into organizational performance.
The ideal candidate will have:
- 5+ years of experience in a similar role within a corporate environment, with a consistent track record of business delivery.
- Experience working with and leading data scientists to develop products and building ML, AI, or NLP models.
- Excellent computer and statistical programming skills, preferably in Python and Matlab, as well as SQL and R.
- Demonstrable knowledge of Azure (Databricks, Spark, Pyspark, SQL) or equivalent technologies, Power BI, MicroStrategy, and Math (Statistics, Linear Algebra).
- A Bachelor's degree or higher in Computer Science or Analytics.
We offer a market-leading annual performance bonus, a comprehensive benefits package, and opportunities for professional growth and development. Our company culture values collaboration, inclusion, and partnership, providing a supportive work environment where you can thrive.
Salary: $120,000 - $180,000 per year, depending on experience and qualifications. This estimate is based on industry standards and location.
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