Director of data science
Data Science Consultancy
Total des années d'expérience :18 years, 9 Mois
● Developing the overall strategy and direction of the company, including identifying target markets and services, setting goals and objectives, and creating a business plan. ● Building and managing a team of data scientists, engineers, and consultants, including hiring, training, and mentoring employees. ● Establishing and maintaining relationships with clients and partners, including developing new business opportunities, managing client accounts, and ensuring client satisfaction. ● Leading and overseeing projects, including defining project scope, timelines, and budgets, managing project risks and issues, and ensuring successful project delivery. ● Developing and implementing best practices and standards for data science, analytics, and consulting, including staying up-to-date with the latest technologies and trends. ● Collaborating with other stakeholders within the company, including finance, marketing, and operations, to ensure alignment and achieve common goals. ● Representing the company at industry events, conferences, and other forums, and contributing to thought leadership and knowledge sharing in the data science community.
The main projects: ● Developing an optimisation-driven hydro-economic simulator for improved water resources management in the Eastern Nile Basin using the ε-constraint approach. ● Generic Water System Simulation Optimisation Model (GWSSOM). The GWSSOM model is an optimisation-driven simulation model to build tools that can serve to improve water management in the Thames Basin (UK) ● A methodology for determining optimal, cooperative allocation policies in multiobjective aquifer management of the Nubian Sandstone Aquifer System (NSAS)
