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Capgemini Engineering UAE is looking for Data Scientists.
Responsabilities :
- Proficiency in programming languages like Python
- Skills in handling and analysing large datasets, including data cleaning, wrangling, transformation, and exploratory data analysis (EDA) using tools like pandas.
- Knowledge of statistical concepts such as hypothesis testing, regression analysis, ANOVA, experimental design, and probability theory.
- Understanding machine learning algorithms, supervised and unsupervised learning, feature engineering, model selection and evaluation, and hyperparameter tuning is essential, with libraries like scikit-learn, TensorFlow, or PyTorch commonly used. Knowledge of YOLO is desirable
- Data visualisation skills using libraries like Matplotlib, Seaborn, or ggplot
- Familiarity with big data technologies like Apache Hadoop, Apache Spark, or distributed databases enables the processing and analysis of large-scale datasets.
- Proficiency in SQL and database management
- Knowledge of data engineering concepts, including data pipelines, integration, warehousing, and architecture, is beneficial.
- Cloud computing platforms (Azure) and services like Azure Machine Learning can be advantageous.
- Proficiency in version control systems like Git is crucial for effective collaboration and code management.
Requirements :
- 6 to 10 years of experience in projects within the manufacturing industry (aluminum, steel, metals, mining,...).
- Good proficiency in English, both written and spoken.
Key Skills
Ranked by relevance
c
machine learning
apache
ha
data analysis
tensorflow
matplotlib
big data
pytorch
seaborn
python
pandas
hadoop
cloud
spark
git
sql
lua
esp
lan
oop
das
pan
ui
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- Posted
- Nov 26, 2024
- Type
- Full-time
- Level
- Associate
- Location
- Dubai
- Company
- Capgemini Engineering
Industries
Manufacturing
Categories
Engineering
Manufacturing
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3 roles aligned with this opportunity
View Job Details
Related
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2026-04-07
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View Job Details
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Senior Data Scientist
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PepsiCo Canada: Ai/Machine Learning Scientist New Grad
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