TASKS AND RESPONSIBILITIES

• The primary responsibility of this role is to provide commercial teams measurable insights into commercial strategies and tactics for key products in key markets. These insights will provide a competitive advantage by making better business decisions derived through strategic data analysis and command of complex statistical techniques
• Is responsible for key aspects along the data modelling cycle: From definition of business questions and hypotheses, to data sourcing and preparation, model development, and insight generation.
• Develop and optimize ML models in different contexts
• Translate complex analytics into actionable recommendations and propose feasible solutions. Communicate in a clear and concise way using the most appropriate approach for each different stakeholder
• Work with business and scientific stakeholders with a clear vision of the final goals and on the business impact
• Collaborate closely with other functions (e.g. Commercial Business Insights, Integrated Multi-channel Marketing) to advice, and support brand marketing or sales teams in various types of advanced quantitative analyses, including but not limited to: Marketing Mix Analysis, Advanced Segmentation & Targeting, Personalized communication, etc.
• Demonstrating thought leadership and content expertise in advanced analytics to business partners, including development of key training programs.

WHO YOU ARE

• Graduate degree in quantitative field (Statistics, Management Science, Operations Research, Engineering, Finance, Applied Mathematics, Mathematics, Business Administration etc.)
• 5+ years of experience
• Strong analytical skills, team playing, and communication skills
• Experience in data modeling, wrangling and visualization
• Knowledge of SQL and data warehousing platforms
• Very good Knowledge of the most important Machine Learning models (classification, regression, clustering, time-series analysis)
• Knowledge of deep learning models (CNN, RNN)
• Knowledge of at least two of the following languages: Python, R, C/C++, Scala, Julia, Mathematica
• Knowledge of the most common ML/DL frameworks (Scikit-Learn, Stan, Pandas, Tensorflow, PyTorch, Keras, Matplotlib)
• Strategic business acumen, focus on results, passion for keeping up with media and technology trends. Strong communication and presentation skills.
• Proven track record of professional success in analytics role
• Passionate team player
• Fluent in English and Japanese (JLPT N2 or above)

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