Basic/ Essential Qualifications: – Creative solutioning skills – able to formulate and execute a strategy where a playbook may not exist. – Experience in influencing senior stakeholders; you should be as comfortable contributing to a “business meeting” as a technical one. You will be the key person in translating business requirements into technical plans and delivering results back into the business. – Experience training end users in data science and analytics technologie – Experience on Python, SQL, and strong ability to work with large and complex data. – Hands-on experience on supervised/unsupervised models, along with Model design, deployment and optimization.
Accountabilitie – Identification, collection, extraction of data from various sources, including internal and external sources. – Performing data cleaning, wrangling, and transformation to ensure its quality and suitability for analysis. – Development and maintenance of efficient data pipelines for automated data acquisition and processing. – Design and conduct of statistical and machine learning models to analyse patterns, trends, and relationships in the data. – Development and implementation of predictive models to forecast future outcomes and identify potential risks and opportunities. – Collaborate with business stakeholders to seek out opportunities to add value from data through Data Science.