We are seeking a Data Scientist to join our team in Cape Town. The role involves enhancing and maintaining analytical and optimization models for product assortment, substitution logic, and fraud detection. The ideal candidate will have a strong quantitative background, experience in data science, and a passion for optimization.
We are looking for a skilled Data Scientist to join our team in Cape Town. This is an onsite position that involves enhancing, maintaining, and evolving sophisticated analytical and optimization models. These models are crucial for driving informed product assortment decisions, encompassing substitution logic, leftover stock management often referred to as carcass balancing, and robust fraud-related anomaly detection.
The ideal candidate will thrive in a highly analytical and process-driven environment, possessing a strong quantitative background. A passion for optimization, efficiency, and continuous improvement is essential for success in this role. The successful applicant will play a pivotal role in refining our data-driven decision-making processes and ensuring the accuracy and effectiveness of our models.\The core responsibilities of this Data Scientist position are multifaceted. The role encompasses the enhancement and maintenance of clustering models, which are utilized to group stores based on department-level similarities, enabling optimized inventory management and resource allocation. Furthermore, the Data Scientist will be responsible for developing data-driven insights into customer needs, with the primary objective of improving assortment effectiveness and ensuring that products align with customer demand. A key aspect of the role involves supporting decision-making related to substitution scores. This includes determining which substitute products can be effectively routed to various stores based on established demand patterns, thereby minimizing stockouts and maximizing sales opportunities. The Data Scientist will also be involved in analyzing leftover stock, sometimes called carcass, and devising optimal redistribution strategies across different store locations. Moreover, the role will contribute to the development and implementation of automated audit mechanisms and anomaly detection models, contributing to fraud prevention efforts. This includes working with and refining existing complex models, improving their accuracy and speed. Engineering principles must be applied to streamline processes, improve throughput, and increase operational reliability. The ability to work collaboratively with the business and translate technical findings into actionable and practical recommendations is a critical component of the role.\The ideal candidate will possess a Bachelor's or Master's degree in Data Science, Mathematics, Statistics, or a closely related quantitative field. A minimum of three years of professional experience in data science, optimization, modeling, or operations analytics is required for this mid-level position. The candidate should be proficient in statistical modeling, machine learning techniques, and data manipulation tools. Strong communication skills are a must, as the Data Scientist will be required to clearly communicate insights to both technical and non-technical stakeholders within the company. This includes the ability to present complex findings in a clear and concise manner, enabling informed decision-making across various departments. Furthermore, the candidate should demonstrate a proactive approach to problem-solving, a keen attention to detail, and the ability to work independently and as part of a team. The ability to adapt to changing business needs and prioritize tasks effectively will also be vital. The role is a great opportunity to contribute to a dynamic team and make a real impact on our product assortment and business outcomes. This individual will be a key contributor to enhancing our analytical capabilities and drive data-informed decisions that will shape the company's future
Data Science Optimization Modeling Fraud Detection Analytics
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