[Hiring] Senior Manager Data Scientist @Damia Group

Role Description

PMI is looking for a Senior Manager Data Scientist to join their amazing team.

At PMI, they have chosen to do something incredible. We’re totally transforming their business and building their future on smoke-free products with the power to deliver a smoke-free future.

With huge change, comes huge opportunity. So, wherever you join them, you’ll enjoy the freedom to dream up and deliver better, brighter solutions and you will have the space to move your career forward in many different areas/directions.

At their Global Data & Analytics Hub, they operate within a product-based framework, prioritizing collaboration, innovation, and most importantly, delivery of value to our customers through impactful data products. They are committed to using data and advanced analytics to drive business growth and deliver exceptional value to our customers across markets, functions, and categories.

They invite you to join a Data Science team in D&A. They are building data products and capabilities to enable data-driven decisions with both classical ML and Agentic ML state of the art technologies.

This role implies both individual contribution and managing/coordination role to focus Data Scientists team effort to deliver a business solution and developing capabilities.

• Lead the team of Data Scientist, coach, support their development, establish well balanced team of internal and external resources capable to react on fluctuating demand of analytics requests and deliver according to the expectations.
• Build D&A analytical capabilities by both individual contribution and coaching Data Science team in Product Based Organization setting.
• Ensure effective and efficient allocation of the resources around the selected and prioritized analytics projects having agile principles in mind.
• Efficient operation in PMI environment, budgeting, governance structures and processes, information systems and organizational landscape.
• Keeping track of industry standards and developments, ability to bring in new technologies, algorithms and frameworks.

Qualifications

• 7+ years’ experience in Data Science with proven record of successful lead of Data Science teams.
• AWS stack, Proficiency with LLM and Agentic Frameworks, like LangChain.
• MLOps: machine learning operations for deploying and maintaining models in production, AWS SageMaker is a plus.
• Data Governance: Knowledge of data privacy, security, and compliance issues.
• Agile methodologies and a hypothesis-driven approach.
• Proficiency in English, spoken and written with ability to present.

Benefits

• Seize the freedom to define your future and ours. We’ll empower you to take risks, experiment and explore.
• Be part of an inclusive, diverse culture, where everyone’s contribution is respected; collaborate with some of the world’s best people and feel like you belong.
• Pursue your ambitions and develop your skills with a global business, their staggering size and scale provides endless opportunities to progress!