Data Science Manager

Our client is a pioneer in the Tobacco Manufacturing Industry, with its headquarters situated in the United States. They have successfully expanded their operations to over 180 countries, representing five distinguished regional certifications, namely Europe, the Middle East, Africa, North America, and Latin America. With a workforce of more than 75,000 talented individuals worldwide, our client has truly established itself as a global leader in the industry.

What sets our client apart is their unwavering commitment to innovation and progress. They have embarked on a remarkable journey of transformation, with a resolute aim to create a smoke-free future. This ambitious endeavor has completely redefined every aspect of their business, from the production and distribution of their products, to how they interact with their customers and society as a whole.

By embracing this transformation, our client has proved to be a trailblazer in their industry, setting an example for others to follow. With their pioneering vision and steadfast determination, they are poised to create a future that is free from the harmful effects of smoking. 

Responsibilities:

• Work with Analytics team (in the Front - business line) and will have the primary responsibility for generating data products (reports, applications) to meet business needs
• Collaborate as part of a cross functional team with business departments (Commercial, Marketing, Strategy, etc.) and IT (data engineering).
• Support stakeholders in choosing the best approach to achieve business goals with data insights, reporting and data models; always having in mind how these teams will use, consume or interact with the data products
• Partner with IT to secure data models are built leveraging best practices and ensuring KPI automation.
• Lead Data scientists team and support the designing of different solutions: best-in-class visualization, hypothesis testing (A/B testing), advanced models and algorithms deployments
• Develop strategical reports and dashboards with a Proof of Value and scalability approach.
• Develop and implement data products for main stakeholders (Commercial, Marketing, Finance departments).
• Work as a translator between business and IT departments for KPIs definition and automation.
• Coordinate user-focused documentation for the data solutions.
• Collaborate with architects from the IT department to support data governance and quality efforts.
• Support requests prioritization to align workload to business strategy.
• Coordinate and develop teams of Data Scientists.
• Communicate insights, data products and reports status and results clearly to the partners.
• Negotiate requests, workloads and team assignment with different partners.

Requirements:

• Bachelor’s degree in Mathematics, Actuary, Economy, Engineering, Computer science.
• Master's degree in Data Science, Computer Science, Statistics or related area is a plus.
• 5+ years’ proven experience working on Data Visualization, Data Science, Machine Learning.
• Advanced experience with programming languages for data modeling (SQL, R, Python).
• Advanced experience working with Business Intelligence platforms and tools (Microsoft Power BI).
• Experience with cloud platforms (desireable experience with AWS).
• Project Management & communication skills.
• Experience on Agile methodologies (SCRUM desirable).
• Problem solving/critical thinking mindset.
• Highly organized.
• Data storytelling and communication skills.
• Proficiency in English.