Data Scientist

BILGI TEKNOLOJILERI VE SISTEMLERI
BAŞLAMA TARIHI
2025-04-01
YER
Grenoble, Fransa.
SÖZLEŞME TİPİ
Daimi Sözleşme
ÇALIŞMA SÜRESI
Full time
HEMEN BAŞVUR
ARaymond’da, dünyanın hareketini devam ettiren makineler ve ürünler için en modern bağlantı elemanları ve montaj sistemlerini tasarlıyoruz.
1865’te Grenoble’da kurulan ve bugün hâlâ genel merkezi bu şehirde bulunan, çıtçıtın icadı da dahil olmak üzere gururlu bir inovasyon geçmişine sahip bir aile şirketiyiz.
158 yılı aşkın bir süredir başarımıza insanî değerler yön vermektedir; çalışanları güçlendiren ve refahlarının öncelikli olduğu servant leadership (hizmetkar liderlik) yönetim modeli bu değerlerimizi somutlaştırmaktadır.
Bugün, dünya çapında 25 ülkede 8.500’den fazla çalışana sahibiz. Global bağlantı elemanları ve montaj piyasasında kendimizi sürdürülebilirlik konusunda öncü olmaya adadık.
Hedefleriniz ve önem veren bir şirket arasında bağlantı kurmak
Her zaman arkanızda olacak birbirine bağlı global bir ekip ile çalışmak. Bizimle yaptığınız yolculuğun her aşamasında şirketin başarısındaki rolünüz için değer verildiğinizi ve saygı gördüğünüzü hissedeceksiniz.
Shape the future of ARaymond as part of our global Digital Lab Community. You’ll join a team at the beating heart of our company’s daily transformation. And you’ll feel valued for what you bring both as a person and professional, thanks to our servant-leadership model that puts your voice and wellbeing first.
You will be involved in the ARaymond transformation.. With your professional background and your energy, you will actively participate in all the activities to maintain and improve the ARaymond Digital environment, you will be in charge to provide data driven insight to solve use cases relying on industrial operations and customer data. You will help build data engineering assets and statistical/machine learning models to surface actionable business insights. The scientist will also work with data analysis systems and modelling environments (Data Robot, Dataiku, Azure ML, AWS Sagemaker).
ROLE & RESPONSIBILITIES
Data extraction and structuring
Identify valuable data sources and automate collection processes
Undertake preprocessing of structured and unstructured data
Analyze large amounts of information to discover trends and patterns
Development of artificial intelligence algorithms
Build predictive models and machine-learning algorithms
Combine models through ensemble modelling
Present information using data visualization techniques
Active participation in projects
Propose solutions and strategies to business challenges
Collaborate with engineering and product development teams
Provide data science expertise to project
Work closely with IT data team (data engineers, devops )
Technology watch on data science tools
EXPERIENCES
A first significative experience.
SKILLS
Excellent statistical, machine learning and data mining skills
**ML in more specific terms**: Clustering, Time series, Regression, Decision trees, Deep Learning (CNN/RNN/GNN) and NLP.
Experience working with relevant technical tools, platform and systems such as Python, R, SQL, Jupiter Notebook, Power BI
Good knowledge of python/R Libraries ( Scikit learn, pandas, numpy, tensorflow, keras, pytorch )
Experience in Analytics with time spent on driving and implementing Analytics insights
Proven ability to create PoCs of Advanced Analytics solutions
Experience maneuvering ETLs
Efficient Data Cleaning techniques
Familiarity with data visualization in R, Python, or JavaScript
Experience in data engineering using Spark / Hadoop is a plus
Experience in model/data drift and lifecycle (mlflow) is a plus
Experience in ai model fairness / interpretability (Shap, Lime) is a plus.
Experience using / building APIs is a plus (Flask )
Must have skills on data modelling and data architecture
Must have good written and verbal communication skills with both technical and executive-level clients.
Must have strong decision-making capabilities
Must be result-oriented with expert problem solving and analytical skills
Must have good business understanding
Fluent in English written and spoken
HEMEN BAŞVUR