Job Description and Requirements
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.
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 :
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)