Data Scientist

Job Description

• Work closely with your business to identify issues and use data to propose solutions for effective decision making
• Build algorithms and design experiments to merge, manage, interrogate and extract data to Supply tailored reports to colleagues, customers or the wider organization.
• Use machine learning tools and statistical techniques to produce solutions to problems.
• Test data mining models to select the most appropriate ones for use on a project
• Maintain clear and coherent communication, both verbal and written, to understand data & needs and report results
• Create clear reports that tell compelling stories about how customers or clients work with the business
• Identifying business needs and apply right approach as a solution. Those solutions include train machine learning algorithms to learn about data sets and then look for patterns, anomalies or insights that can be used to build analytical models. Skilled in the supervised, unsupervised and reinforcement learning methods used in machine learning
• Interpret data, analyze results using statistical techniques and provide ongoing insights to the wider business
• Conduct research from which you'll develop prototypes and proof of concepts.
• Look for opportunities to use insights/data/ets/code/models across other functions in the organization (for example in the HR and marketing departments)
• Stay curious and enthusiastic about using algorithms to solve problems and enthuse others to see the benefit of your work.
• Turn data into information, information into insight and insight into business decisions. The role is to deliver value, measurable insights to the wider business through the use of various statistical tools and techniques on top of a variety of data sources both internal and external to the business
• With skill sets in deep learning, a more advanced method that uses neural networks to create complex analytical models.

Job Requirements

• Bachelor’s in Computer Science, Statistics, Mathematics or relevant field. or equivalent
• 0-3 years in the field of information and business intelligence systems.
• Experience using pandas, numpy, scikit-learn, xgboost and matplotlib
• Experience in one or more programming languages (Python, R, Scala, R, etc.)
• Advanced SQL
• Experience with A/B testing
• Knowledgeable of machine learning, data mining, recommender systems
• Strong applied mathematical and statistical skills regardless of the tools (fit regression curves, build predictive models, statistical significance).
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks
• We Offer:
• Financial stability;
• Interesting and challenging projects within professional self-managed teams;
• Friendly team and a comfortable working environment (Cairo office);
• 21 working day paid annual vacation;
• Social insurance -the highest level
• Medical Insurance