Senior Data Scientist

Job description / Role

Job Description
Data scientists will help us discover the information hidden in vast amounts of data and help us make smarter decisions to deliver even better solutions & products. His primary focus will be applying data mining techniques, statistical analysis, and building high-quality prediction systems integrated with our products.

Key Accountabilities:
- 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
- Dealing with different types of data models, including structured, semi-structured, and unstructured data.
- 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.
- Develops/reviews software application code, ensuring it conforms to coding standards and architecture principles.
- Preparing unit test cases and writing unit test code.
- Writing automated build and execution 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 services

Personal Skills

Computer 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 are required, and other coding knowledge and experience with other languages like Java and R are highly desirable.
- Experience with GenAI, including LLMs fine-tuning.
- 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, like Weka, mlr3, and ML in Matlab, is a plus.
- Design and build Machine Learning and Deep Learning pipelines to solve business problems.
- Experience with data visualization tools like Plotly Dash, PowerBI, Tableau, etc.
- Proficiency in using query languages such as SQL
- Experience with NoSQL databases, such as MongoDB, Cassandra, HBase, Neo4J, and ArangoDB.
- Hands-on experience with Time-Series data.
- Hands-on experience with NLP Tasks.
- Familiarity with Teradata Analytics and/or Cloudera data platform is a plus.
- Proven hands-on experience in dealing with various machine learning tasks and data types, including tabular, time-series, image, and sequential data.

General skills:
- Self-starter with a proactive attitude
- Excellent written and verbal communication skills for coordinating across teams.
- Excellent Leadership and management skills.
- Ability to distribute and follow tasks with other team members.
- Individual contributor able to work effectively across different teams
- Excellent organizational, time management, and presentation skills.
- Ability to communicate effectively with peers, management, & business groups.

Technical Skills
- Python
- GenAISQL
- NoSQL
- Deep Learning
- Machine Learning
- Classification
- Regression
- Clustering
- Forecasting

Education
-Bachelor's degree in Computer Science, Software Engineering, or a related field.

About the Company

Giza Systems, a leading systems integrator in the MEA region, designs and deploys industry-specific technology solutions for asset-intensive industries such as the telecoms, utilities, oil and gas, hospitality and real estate among other market sectors. We help our clients streamline their operations and businesses through our portfolio of solutions, managed services, and consultancy practice. Our team of 1000 professionals are spread throughout the region with anchor offices in Cairo, Riyadh, Dubai, Doha, Nairobi, Dar-es-Salaam, Abuja, Kampala and New Jersey, allowing us to service an ever-increasing client base in over 40 countries.