Associate Data Scientist-(H/F)

Job description

Vos missions au quotidien

• Model design, feature planning, system infrastructure, production setup and monitoring, and release management.
• Excellent understanding of machine learning techniques and algorithms, such as SVM, Decision Forests, k-NN, Naive Bayes etc.
• Experience in selecting features, building and optimizing classifiers using machine learning techniques.
• Prior experience with data visualization tools, such as D3.js, GGplot, etc..
• Good knowledge on statistics skills, such as distributions, statistical testing, regression, etc..
• Adequate presentation and communication skills to explain results and methodologies to non-technical stakeholders.
• Basic understanding of the banking industry is value add

Et si c'était vous ?

• Develop, process, cleanse and enhance data collection procedures from multiple data sources.
• Conduct & deliver experiments and proof of concepts to validate business ideas and potential value.
• Test, troubleshoot and enhance the developed models in a distributed environments to improve it's accuracy.
• Work closely with product teams to implement algorithms with Python and/or R.
• Design and implement scalable predictive models, classifiers leveraging machine learning, data regression.
• Facilitate integration with enterprise applications using APIs to enrich implementations

• Minimum 2 years of experience in developing and deploying machine learning, deep learning, NLP solutions.
• Experience with common data science toolkits, such as Scikit, NumPy, R libraries - Excellence in at least one of these is mandatory.
• Proficiency with any one NoSQL databases such as MongoDB, Cassandra, HBase.
• Should have prior experience in developing APIs, services using either C# or Java.
• Should have good awareness on entire machine learning/ predictive modeling & implementation

Plus qu'un poste, un tremplin

'We are committed to creating a diverse environment and are proud to be an equal opportunity employer. All qualified applicants receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status”.

Pourquoi nous choisir ?

At Société Générale, we are convinced that people are drivers of change, and that the world of tomorrow will be shaped by all their initiatives, from the smallest to the most ambitious.

Whether you're joining us for a period of months, years or your entire career, together we can have a positive impact on the future. Creating, daring, innovating and taking action are part of our DNA.

If you too want to be directly involved, grow in a stimulating and caring environment, feel useful on a daily basis and develop or strengthen your expertise, you will feel right at home with us!

Still hesitating?

You should know that our employees can dedicate several days per year to solidarity actions during their working hours, including sponsoring people struggling with their orientation or professional integration, participating in the financial education of young apprentices and sharing their skills with charities. There are many ways to get involved.

Nous sommes un employeur garantissant l'égalité des chances et nous sommes fiers de faire de la diversité une force pour notre entreprise.
Le groupe s'engage à reconnaître et à promouvoir tous les talents , quels que soient leurs croyances, âge, handicap, parentalité, origine ethnique, nationalité, identité sexuelle ou de genre, orientation sexuelle, appartenance à une organisation politique, religieuse, syndicale ou à une minorité, ou toute autre caractéristique qui pourrait faire l'objet d'une discrimination.

Référence: 20000KDG
Entité: SG Global Solution Centre
Date de début: Immédiat
Date de publication: 19/10/2020