BigTalent
8 months ago
Data Scientist
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Company information
- Company
- BigTalent
- Location
- South Africa, Western Cape, Cape Town Region South Africa
- Posted
- 8 months ago
Job description
Location: Cape Town - hybrid two days on-site Are you passionate about data, solving real-world business challenges, and driving innovation? Our client is a leading retailer focused on customer satisfaction and innovation, and they are looking for a Data Scientist. In this role, you will have the opportunity to lead exciting projects, applying your expertise in data science and machine learning operations to help us uncover insights, optimize strategies, and drive business growth. What You'll Do: * Lead and collaborate on high-impact projects that leverage data science and machine learning to drive business outcomes. * Develop and maintain predictive models using various algorithms and techniques. * Collaborate with cross-functional teams to identify and prioritize opportunities for data-driven decision making. * Design, develop, and deploy data visualizations and reports to effectively communicate insights to stakeholders. * Stay up-to-date with the latest trends and advancements in machine learning and data science, applying this knowledge to drive innovation and improvement. What We're Looking For: * A Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. * 3+ years of experience working as a Data Scientist or similar role. * Strong understanding of machine learning algorithms and techniques, including supervised and unsupervised learning methods. * Experience with data visualization tools such as Tableau, Power BI, or D3.js. * Familiarity with programming languages such as Python, R, or SQL. * Excellent analytical, problem-solving, and communication skills. What We Offer: * Competitive salary and benefits package. * Opportunity to work on high-impact projects that drive business growth. * Collaborative and dynamic work environment. * Professional development opportunities through training and mentorship. * Flexible working arrangements, including hybrid remote work options.
Required skills
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