Data Scientist
3 days ago
**Responsibilities**:
- 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 classical machine learning and deep learning techniques, such as Naive Bayes, SVM, Random Forests, CNNs, RNNs, GANs, attention-based networks, etc.
- Excellent Coding Skills in Python is required and other coding knowledge and experience with other languages like Java, and R is highly desirable.
- Good applied statistical skills, such as distributions, statistical testing, regression, etc.
- Excellence at using common python data science packages like Scikit-Learn / NumPy / SciPy/ Matplotlib / Plotly.
- Experience with machine learning libraries in different languages is a plus like Weka, mlr3, ML in Matlab.
- Experience with data visualization tools, such as Plotly Dash, PowerBI, Tableau, etc.
- Proficiency in using query languages such as SQL
- Experience with NoSQL databases, such as MongoDB, Cassandra, HBase, Neo4J, ArangoDB.
- Hands-On Experience with Time-Series data.
- Hands-On Experience with NLP Tasks.
- Familiarity with Cloud ML Engines such as Amazon Sage Maker is a preferred.
- Familiarity with Teradata Analytics and/or Cloudera data platform is a huge plus.
- Proven hands-on experience in dealing with a variety of machine learning tasks and data types including tabular, time-series, image, and sequential data.
- Good applied statistics skills, such as distributions, statistical testing, regression, etc.
- Supervised Machine Learning
- Unsupervised Machine Learning
- Python
- Apache Spark
- SQL
- NoSQL
- Time-Series Analysis
- Deep Learning
- Natural Language Processing
**Education**:
- Bachelor’s degree or equivalent experience. Preferred Computer science or engineering.
**Job Details**:
Job Location
Cairo, Egypt
Company Industry
IT Services
Company Type
Employer (Private Sector)
Job Role
Engineering
Job Division
COO Office
SW Engineering
Career Level
Mid Career
Years of Experience
Min: 3 Max: 5
Degree
Bachelor's degree
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