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The ideal candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers.
Technical Skills
- SAS (Base SAS, EMiner, EG)
- Python
- Statistical modelling, Machine Learning and AI (Pattern recognition, Natural language processing, computer vision)
- Data Visualization (Power BI)
- Unstructured data (SAS text analyzer)
- Data modelling: json, xml
- Deep learning technologies (Neural networks, LSTM, GAN, RNN,etc..)
- Deep learning frameworks (Tensorflow/pytorch/Maxnet)
- Cloud deployment: Microsoft Azure / AWS
- Exposure to distributed computing environments / big data platforms (Cloudera, Hadoop, Apache spark, Elastic search, etc.) as well as common database systems and value stores (SQL, Hive, HBase, etc.)
Minimum Qualifications:
- Master’s in Business Administration from top B Schools.
- Bachelor's degree in Statistics, Computer Sciences, Maths, Operations Research or other related fields.
- Additional degree or certifications in the field related to the data science/Analytics is preferred.
Minimum Experience:
- Minimum 4 years of experience in Data Science (Analytics, BI, ML Modelling, Deep learning Algorithms and ML Ops) in Banking Sector
- Typically 2+ years of relevant quantitative and qualitative research and analytics experience.
Key Skills
Ranked by relevance
sas
natural language processing
distributed computing
machine learning
neural networks
deep learning
big data
apache
hadoop
hbase
spark
sql
aws
ai
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- Posted
- Jan 21, 2025
- Type
- Contract
- Level
- Associate
- Location
- Abu Dhabi Emirate
- Company
- Adecco
Industries
Staffing
Recruiting
Information Services
Categories
Information Technology
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Mobile Application Developer Jobs In Canada-Netherland-Australia-Sweden-Portugal
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