Data Science Principal / SN Principle - Valeo Services
Valeo -
Cairo, EgyptPosted 4 years ago12People have clicked1 open position
Job Details
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Job Description
- Mine and analyse data from company databases and other sources to drive optimization and improvement of product development, marketing techniques and business strategies.
- Assess the effectiveness and accuracy of new data sources and data gathering techniques.
- Develop custom data models and algorithms to apply to data sets.
- Develop custom machine learning models and algorithms to apply to data sets
- Develop and conduct data cleansing tasks, processes and tools to the data sets
- Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
- Develop processes and tools to monitor and analyze model performance and data accuracy.
- Responsible of delivering workable releases and packages based on agreed commitment and plans.
- Ensure the performances/quality of the product/application developed
- Follow Agile and Design Thinking methodologies
- Contribute to full collaboration between the project actors (UX design, UI design, management, marketing, communication…)
- Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
Job Requirements
Education/Training:
Computer science, Engineering, Statistics, and Information Systems BSc. Master of Science is a plus.
5+ years of experiences within teams of Data Science, BI, Data Mining and/or Machine Learning.
Professional Experience:
The candidates should have from 5 years of experience, with most of these qualities:
- Data-oriented personality
- Eager to research and learn in a self-directed way (always improving)
- Good communication skills
- Excellent applied statistics skills, such as distributions, statistical testing, regression, etc.
- Technical Experience in Modelling, BI, big data and data mining is a plus.
- Discipline, methodological, transparent, empowerment and team playing is a core needed skills.
- Mastering with common data science toolkits
- Mastering with data visualisation tools
- Mastering using query languages such as SQL
- Experience with NoSQL databases
- Skilled in scripting and programming skills
- Proficiency in machine learning techniques and algorithms
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