These jobs were popular with other job seekers JOB DESCRIPTIONData ScientistCape Town, South Africa (Hybrid work model)PermanentAbout TFG:Who we are is because of our people. They are our greatest asset. TFG is an internationally diversified retail portfolio of 34 speciality lifestyle and apparel brands that inspire our customers to live their best lives and are woven into the lives of millions. Our vision is to create the most remarkable omnichannel experiences for our customers. TFG is more than a workplace; it's a launchpad for your growth. Join us and explore endless growth opportunities across our diverse brands. We're a purpose-led business and on this team, you'll share the pride of making an impact across a whole industry. We're the designers, the makers, the shakers, and the teams behind the scenes. Are you with us?About the Division:The Merchandise Process Optimisation team is a pivotal part of TFG's commitment to innovation and excellence. Within this team, the Analytics division is instrumental in crafting the algorithms and solutions that power our merchandise systems and initiatives. We focus on data analytics and data science initiatives that streamline operations, optimize inventory distribution, and advance strategic initiatives that drive our overarching business objectives.Key Responsibilities:Develop and implement advanced analytics and data science solutions to optimize merchandise processes and systemsAnalyze data trends to support allocations, stock management, and other retail analytics needsCollaborate with cross-functional teams to design and execute data-driven strategies for merchandise optimizationContribute to the enhancement of ML Ops processes and agile methodology practicesStay abreast of industry trends and technological advancements to drive innovation within TFGQualifications and Experience:Bachelor's or higher degree in Data Science, Operations Research, Statistics, or related analytical fieldA minimum of 3-5 years of proven experience in data analytics or data science, preferably within the retail sector, demonstrating a track record of delivering impactful data-driven insights and solutionsExperience in supply chain or merchandise analytics is highly desirableFamiliarity with ML Ops and agile methodologies is advantageousSkills:Expertise in SQL and Python programmingStrong analytical and critical thinking abilitiesProficient in predictive modeling techniques, with the ability to develop and apply models for forecasting and trend analysisAbility to interpret complex data and translate it into actionable insightsProficiency in data modeling, analysis, and visualizationExcellent communication and collaboration skillsBehaviours:A passion for leveraging data to drive business successFlexibility and adaptability to change in a fast-paced environmentInnovative and proactive approach to problem-solvingCommitment to continuous learning and professional developmentStrong team player with a customer-focused mindsetJoin TFG and be at the forefront of retail analytics innovation. Apply now and transform data into decisions that shape the future of retail.ABOUT USWho we are is because of our people. They are our greatest asset. TFG is an internationally diversified retail portfolio of 34 speciality lifestyle and apparel brands thatInspire our Customers to live their Best Lives and are woven into the lives of millions. Our vision is to create the most remarkable omnichannel experiences for our customers. TFG is more than a workplace, it's a launchpad for your growth. Join us and explore endless growth opportunities across our diverse brands. We're a purpose-led business, and on this team, you'll share the pride of making an impact across a whole industry.We're the designers, the makers, the shakers and the teams behind the scenes.Are you with us?ABOUT THE TEAMOur logistics team consists of transport and process managers, engineers, pickers, packers and hyster drivers who are responsible for organising the storage and distribution of goods. They ensure cost-effective and efficient last mile fulfilment and by working together they ensure everything runs smoothly. Textiles, Clothing, Leather & Fashion Wholesale & Retail Trade These jobs were popular with other job seekers#J-18808-Ljbffr