About the Role
As the Head of Data Science, you will lead and evolve our data science capabilities, providing thought leadership in Big Data Advanced Analytics. You will manage the Data Science team, define and execute the data science talent strategy, and foster data science knowledge across the company. This role involves defining and evolving data science methods, toolsets, and processes, including advanced methodologies, end-to-end analytic development lifecycle, and agile ways of working. You will also oversee data science and predictive model governance, performance monitoring, and controls. Collaborating closely with business consultants, analysts, data, and software engineers, you will design, build, and deploy data science solutions that deliver significant impact in Retail, FMCG, and Customer Marketing, supporting the operationalization and integration of insights into business processes.
Responsibilities
- Lead and evolve data science capabilities and provide thought leadership in Big Data Advanced Analytics.
- Lead and manage the Data Science team, defining and executing the data science talent strategy.
- Provide individual and team leadership to data scientists, ensuring their growth and career development.
- Lead and foster data science knowledge across the company.
- Define and evolve data science methods, toolsets, and processes, including advanced and emerging methodologies, end-to-end analytic development lifecycle, and agile ways of working.
- Oversee data science and predictive model governance, performance monitoring, and controls.
- Partner with business consultants, analysts, data, and software engineers to design, build, and deploy data science solutions for Retail, FMCG, and Customer Marketing.
- Support the operationalization and integration of insights in business processes and collaborate with business-facing analytics/consulting teams to ensure adoption and value realization.
Requirements
- 7+ years of experience in a Data Science role with hands-on experience in building business-relevant solutions.
- Higher education (Master’s Degree and/or PhD) in a quantitative field such as mathematics, statistics, operations research, or engineering/technology with an emphasis on statistical analysis and data science.
- Deep expertise in advanced analytics and data science methods, tools, platforms, and processes for designing, building, and operationalizing data science solutions.
- Knowledge of big data tools and platforms, structured and unstructured data mining, analysis of real-time/streaming data, and usage of external and non-traditional data sources.
- Expert knowledge in Econometric Models (e.g., advanced clustering, advanced regression, conditional probabilities) and Advanced Machine Learning Models (e.g., Neural Networks, Graph Theory / Graph Clustering).
- Combination of analytical, technical, and business acumen with hands-on experience in conceptualizing and implementing Data Science Products, ideally in Retail, CPG, or Customer Marketing.
- Experience and/or interest in working in a fast-paced Start-Up environment.
- Entrepreneurial "Can-Do" attitude and willingness to build a company with a highly motivated international team.
- Fluent in English (written and oral).