Your ‘day to day’ tasks

• Use statistical methods in large databases and unstructured datasets to identify different milestones of IQOS consumer journey.
• Leverage data to find business opportunities and develop creative solutions by employing data science methods such as statistical models, machine learning, pattern recognition, forecasting, optimization algorithms or other complex methodologies.
• Model and predict future behavior of IQOS customers, develop and analyze relevant experiments.
• Build multiple customer segmentations and provide recommendations for acquisition and retention strategy.
• Distil real-time 360 consumer data, synthesize them into meaningful outcomes and insights that will foster business actions.
• Visualize dissimilar data and communicate them in a sharp and vivid manner across different stakeholders.

Who we’re looking for

• Educational background in Maths, Statistics, Data Science, Computer Science, Engineering or other quantitative discipline or equivalent experience (MSc or PhD degree will be considered an asset).
• 4+ years of hands-on experience in Data Science or Applied Statistics for business problem solving (Descriptive, Exploratory, Predictive) such as segmentation, propensity modelling (churn/cross-sell), time-series forecasting, text analytics, etc.
• Robust programming skills, knowledge of data science and expertise in statistics.
• Proficiency in R and Python. Familiarity with machine learning frameworks & libraries.
• Good knowledge of relational databases and SQL is mandatory.
• Familiarization with at least one BI suite.
• Strong visualization and communication skills.
• Strong business acumen, analytical and problem-solving skills .

What we offer

Our success depends on our talented employees who come to work here every single day with a sense of purpose and an appetite for progress. Join PMI and you too can:

• 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 – our staggering size and scale provides endless opportunities to progress.
• Take pride in delivering our promise to society: to deliver a smoke-free future.

To join our growing team apply no later than January 6th.