Data Scientist

Responsibilities

1. Exploratory analysis to define dimensions and variables of interest.
2. Deploy machine learning modules for client-based applications, such as revenue forecast and conversion rate prediction.
3. Data engineering practices to build the inner works of our data pipeline, including creation of tables, dependencies, assertions, and quality control.
4. Rigorous control of data governance and assertions, ensuring the data is accurate and on time.
5. Development and deployment of web-based apps to interface with the modules created and provide our teams/clients an access point to our tools.
6. Create an interface between the performance teams and the tools to be built, ensuring they are used effectively and serve their intended purpose.

As we are a fast-growing company, your missions and responsibilities will evolve along with our activity and your experience.

Who we are looking for
Absolute must-haves:

• Very strong analytical skills
• Excellent knowledge of SQL and Python
• Excellent knowledge of MS Excel
• Knowledge of any web application framework (React, Django, Flask)
• Fluent English
• Results-driven and proactive profile, with good interpersonal skills

• Knowledge of digital marketing
• Exposure to Google Cloud Platform and its modules (Big Query, Vertex AI, Dataform)
• Knowledge of data aggregation tools (Funnel.io, Supermetrics)
• Knowledge of data visualization tools (Tableau, Google Looker Studio, Power BI)
• Fluent in Arabic