DATA ANALYST - Alternance/Stage
Capijobnew
Domaine: Toutes nos offres
Région: Alpes (Hautes), Alpes de Haute Provence, Alpes Maritimes, Bouches du Rhône, Var, Vaucluse
Contrat: NC
Expérience: NC
Niveau d'étude: NC
Salaire: NC
Permis demandé: Permis NC
Niveau de qualification: NC
Description: To accompany our partners/clients on complex and ambitious technological issue, we are looking for a Data Analyst As part of our team, you will be involved in the entire project lifecycle. Your main responsibilities would include: Assist the data science team in the first phases of diversified data science projectsSuggest some directions to take in order to achieve pre-defined goalsConduct early studies using proper machine learning algorithmsConduct technical watch Ideal Profile : Graduated from a Master's degree (or equivalent) in a quantitative field (Big Data, Data Science, Engineering, Computer Science, Mathematics, Statistics, Econometrics)You are familiar with Python, mainstream Machine/Deep Learning algorithms (at least in one of the following fields: NLP, Computer Vision, Time Series)A good knowledge of Statistics, Probability and Linear algebraYou have been introduced to classical libraries such as Scikit-Learn, Keras, Tensorflow, Scipy, Pandas, Numpy and any other relevant ones.You are interested to do scrapping, cleaning, and understanding unstructured datas (images or text).You are interested about learning through research papers or tech watches.You are willing to learn CI/CD, docker, and other production tools.You have strong communication skills, effective analytical abilities and strong project management skills. ApplicationPlease send through a CV/cover letter, which would help us understand why you believe you are right for the job based on the description.Equal Opportunity:Amaris Consulting is proud to be an equal opportunity workplace. We are committed to promoting diversity within the workforce and creating an inclusive working environment. For this purpose, we welcome applications from all qualified candidates regardless of gender, sexual orientation, race, ethnicity, beliefs, age, marital status, disability, or other characteristics.

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