Consumer Data ScientistBe a part of a revolutionary changeAt PMI, we’ve chosen to do something incredible. We’re totally transforming our business, and building our future on smoke-free products with the power to improve the lives of a billion smokers worldwide.
With huge change, comes huge opportunity. So, wherever you join us, you’ll enjoy the freedom to dream up and deliver better, brighter solutions and the space to move your career forward in endlessly different directions.
PMI’s journey to a smoke-free future is fuelled by technology. The total transformation we’re going through means that there are unique projects here to match all levels of skills and ambitions from pace-setting global pilot projects to vital local updates.
Whether you want to pursue a personal passion or build an international career, there’s space here to develop in any number of directions.
To join us you’ll need to be driven and equally happy whether you’re taking the strategic view or diving deep into processes.
We'll make sure you're set up to succeed whatever your project is, our culture is agile and collaborative, and we genuinely believe our people are some of the best you’ll ever work with.
We are currently looking for talented individuals who excel in data analytics and are passionate to analyse large amounts of raw information, aiming to improve the IQOS Consumer Journey.
Key part of the role is to identify predictive actions, synthesise the analysis into business insights and drive impactful decision making! Your day to day’ tasks
Use statistical methods in large databases and unstructured datasets to identify different milestones of IQOS consumer journey
Build multiple customer segmentation for acquisition and retention strategies
Leverage data to find business opportunities and develop creative solutions by employing data science methods such as statistical models, machine learning, pattern recognition, optimization algorithms or other complex methodologies
Model and predict future behavior of IQOS customers, develop and analyze relevant experiments
Distil real-time 360 consumer data and turn them into insights that will foster fast business action
Leverage on a broad set of different metrics, synthesize and extract meaningful outcomes
Visualize dissimilar data and communicate them in a sharp and vivid manner across different stakeholders
Cooperate with third party vendors and work with partners on strategic KPIs development
Be the changemaker by identifying, and challenging status-quo while advocating use of statistically sound decision-making processes.
Work with structured and semi-structured data from different data sources 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)
At least 3 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.
Proficiency in R or Python. Knowledge of SAS will be considered as an asset
Good knowledge of relational databases and SQL is mandatory
Experimental design experience
Familiarization with at least one BI suite
Strong visualization and communication skills
Experience with exploratory data analysis, testing and modelling
Strong business acumen, analytical and problem-solving skills What we offer Our success depends on the men and women who come to work 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 improve the lives of a billion smokers. To join our growing team apply no later than June 16th