Our client within FMCG is looking for an ambitious and enthusiastic data scientist to join the Business Intelligence team and to help discover insights from vast amounts of data in order to support the business’ objectives and decision-making.
Minimum Qualification : Bachelor
Experience Level : Senior level
Experience Length : 5 years
Location : NAIROBI, KENYA
Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions;
Work with the data engineers in identifying and integrating new datasets that can be leveraged through our operations and work closely with the BI team members to strategize and execute the development of data products;
Assess the effectiveness and accuracy of new data sources and data gathering techniques;
Undertake preprocessing of structured and unstructured data with the aim of integrating it in the organizations’ data lake;
Work with Data Engineers in deployment of data products into the existing ordering Platform;
Mine and analyze data from company databases for improvement and optimization of sales and supply chain processes;
Use diagnostic, predictive and prescriptive modeling to increase customer experiences, optimize revenue generation and targeting as well as other business outcomes;
Execute analytical experiments methodically to help solve various problems and make a true impact across various operations department;
Devise and utilize algorithms and models to mine big data stores, perform data and error analysis to improve models, and clean and validate data for uniformity and accuracy;
Objectively analyze data for trends and patterns.
Communicate analytic solutions and ideas to stakeholders and implement improvements as needed to operationalize systems and processes.
A Bachelor’s or master’s degree in Statistics, Mathematics, Computer Science, or other relevant fields;
At least 5-7 years of data science experience;
Excellent understanding of machine learning techniques and algorithms and artificial intelligence;
Excellent knowledge of advanced statistical techniques and concepts and experience with applications;
High-level command of common data science and data visualization tools, scripting and programming skills;
Experience with databases and large data sets and proficiency in using query languages;