Lead Data Scientist

About the Role Our client, an innovative fintech company, is looking for a talented Lead Data Scientist to spearhead their data science initiatives in Klerksdorp . This role is pivotal in leveraging advanced analytics, machine learning, and AI to drive product innovation, enhance customer experiences, and optimize business operations. As a remote-first organization, we encourage collaboration and contribution from wherever you work best. You will lead a team of data scientists, mentor junior members, and collaborate with cross-functional teams including engineering, product, and marketing. The ideal candidate has a proven track record of building and deploying sophisticated data-driven solutions in a production environment. You should possess a deep understanding of statistical modeling, machine learning algorithms, and big data technologies. This is a fantastic opportunity to shape the future of data science within a rapidly growing company, working on challenging problems with significant business impact. We value creativity, technical excellence, and a passion for turning data into actionable insights. Your leadership will be key to driving our data strategy forward in this fully remote capacity. Key Responsibilities Lead and mentor a team of data scientists, guiding their technical development and project execution. Design, develop, and deploy machine learning models and algorithms to solve complex business problems. Identify new data sources and opportunities for leveraging data analytics to drive business value. Collaborate with engineering teams to integrate data science models into production systems. Develop and maintain data pipelines, ensuring data quality and integrity. Communicate complex analytical findings and recommendations to stakeholders in a clear and concise manner. Drive innovation in data science methodologies and tools. Stay current with the latest advancements in machine learning, AI, and data science. Contribute to the company's data strategy and roadmap. Evaluate and implement new technologies and platforms to enhance data science capabilities. Requirements Master's or PhD in Computer Science, Statistics, Mathematics, or a related quantitative field. 5+ years of experience in data science or machine learning, with at least 2 years in a leadership role. Proven experience in developing and deploying machine learning models in production (e.g., classification, regression, clustering, deep learning). Expertise in programming languages such as Python or R, and associated data science libraries (e.g., TensorFlow, PyTorch, Scikit-learn, Pandas). Strong understanding of big data technologies (e.g., Spark, Hadoop) and SQL. Excellent analytical, problem-solving, and critical thinking skills. Strong communication and leadership abilities, with experience mentoring junior team members. Experience with cloud platforms (AWS, Azure, GCP) is a plus. Familiarity with MLOps practices and tools. Benefits Highly competitive salary and performance bonus. Comprehensive health insurance coverage. Generous paid time off and flexible working hours. Stock options or equity participation. Professional development budget for conferences and training. Fully remote work environment with home office stipend. Access to cutting-edge technology stack. Collaborative and innovative company culture. #J-18808-Ljbffr