Global Forecast Scientist

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

The forecast scientist supports the strategy by anticipating and improving company’s projections.

The Global Forecast Scientist will support the Global Forecast Manager to define and to build predictive algorithms and projections.

The main objectives are to deliver the best forecastings and projections for all markets and adapted to the need, and to produce strong and relevant insights nourrishing the different stakeholders.

He/she leverage all forecasting algorithms to ensure the best accuracy by collecting, analyzing and interpreting qualitative and quantitative data with statistical theories and forecasting methods.

The Forecast Scientist will:

• Build and optimize forecast modelling
• Follow the performance and adapt models developed
• Provide KPIs projection (active base, net acquisition, products...)
• Support the different stakeholders

A day in the life of...

• Build and optimize forecast modelling and follow the performance
• Build and optimize forecast models by testing new algorithm, new data, others
• Insure the right level of accuracy and robustness of each model
• Adapt the models when it will be needed and taking into consideration business constraint.
• Provide KPIs projections
• Project the CRM KPIs (active base, net acquitisiton…)
• Project the products sales (coffee launch, accessories….) and the impacts (cannibalization, change of consumption...)
• Support the different stakeholders
• Share the CRM key indicators needed (redemption rate,…)
• Give recommendations/insights according to the results
• Provide relevant deliverables (right level of information and format)

What will make you successful

Education:

• Master degree in engineering or equivalent with a specialisation on big data/data science, statistics (engineering school, specialized school, business school or university equivalent)
• Experience:
• 3 5 years experience in Direct Marketing / CRM or Finance experience, with data analysis, modelisation and machine learning
• International exposure or experience in working with multicultural teams
• Strong experience in forecasting modelisation

Skills:

• Mastering mathematical algorithms with software or language as IBM Modeler, Python, R
• Expertise working with structured and unstructured data
• Experience with BI and data visualization tools, Power BI experience will be an asset