Data Scientist
2 weeks ago
Key KPIs include:
- Selecting features, building and optimizing classifiers using machine learning techniques
- Data mining using state-of-the-art methods
- Extending company’s / customers’ data with third party sources of information when needed
- Enhancing data collection procedures to include information that is relevant for building analytic systems
- Processing, cleansing, and verifying the integrity of data used for analysis
- Doing ad-hoc analysis and presenting results in a clear manner
- Creating automated anomaly detection systems and constant tracking of its performance
- Prepares / Reviews low-level design.
- Preparing unit test cases and writing unit test code.
- Writing automated build and execution scripts for software artifacts.
- Writing automated deployment scripts for software artifacts.
- Fixing software bugs reported by internal and external testing teams.
- Fixing bugs in open-source software supported by the company and software products developed by the company.
- Accountable for providing high quality software products and service
**Personal Skills**:
- Excellent communication skills
- Flexibility to work under pressure and in different environments.
- Problems solving skills.
- Leadership skills.
- Excellent organizational and administrative skills.
**Technical Skills**:
- Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks
- Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.
- Coding knowledge and experience with several languages: C, C++, Java, java script, python
- Excellent written and verbal communication skills for coordinating across teams.
- Experience with common data science toolkits, such as R, Weka, NumPy, MatLab, etc. Excellence in at least one of these is highly desirable
- Experience with data visualization tools, such as D3.js, GGplot, etc
- Proficiency in using query languages such as SQL, Hive, Pig
- Experience with NoSQL databases, such as MongoDB, Cassandra, HBase
- Good applied statistics skills, such as distributions, statistical testing, regression, etc.
- R
- Python
- Spark
- SQL
- Hive
- HBase
- Artificial Neural Networks
- Regression Analysis
- Deep Learning
- Machine Learning
- Classification
- Clustering
- Forecasting
**Education**:
- Bachelor’s degree or equivalent experience. Preferred Computer science or engineering.
**Job Details**:
Job Location
Cairo, Egypt
Company Industry
System Integrator
Company Type
Employer (Private Sector)
Job Role
Information Technology
Employment Status
Full time
Employment Type
Employee
Job Division
Integration
Technical
Career Level
Entry Level
Years of Experience
Min: 2 Max: 5
Degree
Bachelor's degree
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