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JOB DESCRIPTIONGeolog Technologies is looking to add Data Scientists with experience in Machine Learning ("ML") to their R&D team. Working in a multidisciplinary team, candidates will be involved in the development and maintenance of ML models to support automation of critical business processes and applications in the upstream sector of the Oil & Gas and Geothermal industries. A solution-oriented mindset is required to develop study-specific data processing algorithms aimed at solving concrete industrial challenges. Job mission: to transform intuitions into algorithms and procedures that will become solutions to tackle clients' challenges.ACTIVITIESApply data workflow tasks such as extraction, mining, preparation, quality control, KPI optimization, modeling, validation, and business insight consideration.Apply advanced analytics and ML techniques to multiple data sources.Manage autonomously one or more research projects in parallel.Understand clients' needs and develop solution-oriented proposals.Interact and collaborate with people having different backgrounds, inside and outside the research team (chemists, geologists, sales, IT engineers, and software developers).REQUIREMENTS & COMPETENCIESMaster's Degree in Data Science, Computer Science, Geology, Physics, Mathematics, Engineering, Statistics, or other computationally intense disciplines. PhD in Statistics, Computer Science, or Mathematics is a plus.3+ years of experience in a data science/data analysis position.Excellent knowledge of Data Exploration. Fluent in data wrangling and preparation: exploratory analysis, profiling & cleansing, feature selection, feature engineering, segmentation, clustering, and PCA.Excellent knowledge of Data Analysis, AI, ML, and Database & SQL.Excellent understanding of Python development with ML and Deep Learning toolkits. Knowledge of other programming languages (e.g., R, Matlab) is a plus.Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment.High attention to detail, strong verbal and written communication skills.Ability to adapt to a dynamic, ever-changing environment.Commitment to timely delivery.Solution-oriented and able to work in a multidisciplinary team.Fluent in English, both written and oral.
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