Main Purpose

• Collaborate with data scientists and business stakeholders to design, develop, and maintain efficient data pipelines feeding into the organization's data lake.
• Ensure the data lake contains accurate, up-to-date, and high-quality data, enabling data scientists to develop insightful analytics and business stakeholders to make well-informed decisions.
• Utilize expertise in data engineering and cloud technologies to contribute to the overall success of the organization by providing the necessary data infrastructure and fostering a data-driven culture.
• Demonstrate a strong architectural sense in defining data models, leveraging the Poly-base concept to optimize data storage and access.
• Facilitate seamless data integration and management across the organization, ensuring a robust and scalable data architecture.
• Take responsibility for defining and designing the data catalogue, effectively modelling all data within the organization, to enable efficient data discovery, access, and management for various stakeholders.

KEY RESPONSIBILITIES:

• Work with stakeholders across the organization to identify high-impact opportunities for leveraging data to drive business solutions and growth.
• Design, develop, and implement advanced analytics models and machine learning algorithms to extract valuable insights from data.
• Champion the adoption of data-driven decision-making processes throughout the organization by effectively communicating results and insights to stakeholders.
• Take ownership of the end-to-end data science process, from problem statement to solution delivery, collaborating with other teams as necessary.
• Stay current on trends and best practices in data science, and actively promote the use of advanced analytics techniques within the organization.

Requirements:

Experience

• 10 years of overall experience & at least 5 years of relevant experience 
• Understanding of a multi domain (retail, B2B etc.) OTC process is a plus.

Skills

• Bachelor's or Master's degree in Computer Science, Engineering, Statistics, Economics, or a related field.
• Strong experience with data manipulation, analysis, and visualization tools such as R, Python & Tableau.
• Knowledge of machine learning, statistical modelling, and big data platforms (e.g., Hadoop, Spark).
• Familiarity with cloud platforms like AWS, Google Cloud, or Azure is a plus.
• Experience with ETL tools such as SSIS, Xceptor & Alteryx
• Experience in using available ML models in Azure & AWS
• Excellent attention to detail, problem solving and analytical abilities

Languages:

• Fluency in verbal and written English mandatory
• Fluency is Spanish & French is useful.

Key Relationships:

• Internal: CEO & COO of Africa, Managers across various departments, Senior Management, Head of Departments in other regional hubs of Puma Energy
• External: External Consultants