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Develop and deliver the identified use cases (i.e. NBA/NBO, SMART Capex) by applying machine learning concepts.
Perform advanced machine learning / analysis using state-of-the-art methods
Liaison with corporate and business units to build and animate strategic analysis studies, using internal/external data sources.
Develop and apply complex statistical models to discover hidden insights and reveal business value.
Perform advanced analysis of large datasets to find hidden patterns.
Work on data preparation and software development to allow models to be used by others.
Establish and schedule the data analysis approach in conjunction with the business unit.
Develop data extraction (clean-up, reduction…) and analysis techniques for data from the company’s repositories.
Expose comprehensive results, demonstrate business value and advise on way forward to a senior management / executive audience by translating data-driven insights into clear decisions and action plans
Education & Experience:
B.SC. in a quantitative field such as Statistics, Computer Science, Economics, Engineering (telecom, industrial, computer).
5+ years of relevant experience.
A good experience in Python programming language
A good knowledge of various machine learning techniques (clustering, Trees, boosting, ANN).
Background in statistics and probability theory.
Ability to work with large data sets.
Knowledgeable, Initiative and sharp.
Expertise in Data Ingestion / Processing and Modelling: able to express complex data needs / understanding of data quality-cleansing processes & methods
Statistical expertise : able to build predictive models leveraging advanced machine learning techniques and active in data science community (publish own model / package)
