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Job Description
Responsibilities:
- Establish and lead an agile team of Data Scientists.
- Having people management responsibility and duties.
- Responsible of the capacity planning and delivery management
- Setting the team objectives, competencies and advancement.
- Build, maintain the team culture and wellbeing.
- Responsible of managing the team skills, knowledge and career aspirations.
- Leading the technology management part and guarantee the readiness and competent level of the team in different diversified technology domains.
- Responsible for setting the technology and platforms roadmaps, releases plans and guarantee the future readiness of the technology and people.
- Responsible of managing the relation, business development and account management with different internal stakeholders including different BGs, PG, and PLs.
- Act as the Product Owner of the major platforms and manage the back log, budget and ready stories.
- Conduct projects, request and assignment sizing, quotations and commit to sprints & releases deliveries Explorer and bench mark alternative technologies and solutions to choose the most competitive based on the strategic objective of each platform and request.
- Lead and engage in advancement and deployment of a variety of technologies
- Lead the support and guide engineers to design, build, test, deploy, maintain and improve technology solutions and models.
- Lead, manage and influence technical discussions, and a have strategic influence to provide effective consultation and realize objectives.
- Have deep technical inclination and work closely with different engineering teams and stakeholders to define technical specifications and model designs.
- Have a high level of autonomy and resolve, even in the different ambiguous phases of new project/product development life cycle.
- Have the adequate discipline to follow and enforce best practices when it comes to methodologies, standards and processes.
- 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
- Anticipate and solve issues with the project team
- 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.
- Mine and analyze data from company databases 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.
- Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
- Coordinate with different functional teams to implement models and monitor outcomes.
- Develop processes and tools to monitor and analyze model performance and data accuracy.
Job Requirements
Education/Training:
Computer science, Engineering or Master of Science degree
10+ years of experiences minimum in team management, technology management, delivery management and software development. 7+ years management experience within teams of Data Science, BI, Data Mining and/or Machine Learning.
Professional Experience:
The candidates should have from 6-12 years of experience, with most of these qualities:
- Data-oriented personality
- Sense of business
- Eager to research and learn in a self-directed way (always improving)
- Great communication skills
- Good applied statistics skills, such as distributions, statistical testing, regression, etc.
- Technical Experience in Modelling, BI, big data and data mining is a plus.
- Experience and successful track record of projects deliveries management and customer satisfaction
- Project management and program management previous experience is of great value
- Experience in account management, customer relation management and increasing customer share of wallet is a great asset.
- Discipline, methodological, transparent, empowerment and team playing is a core needed skills
- Experience with common data science toolkits (is a plus)
- Experience with data visualization tools (is a plus)
- Proficiency in using query languages such as SQL (is a plus)
- Experience with NoSQL databases (is a plus)
- Good scripting and programming skills (is a plus)
- Understanding of machine learning techniques and algorithms (is a plus)
