Senior Data Scientist - AI Model Developer
2 days ago
Cape Town, Western Cape, South Africa
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Job Description
beBee Careers is hiring a Senior Data Scientist in Cape Town, South Africa, to lead AI and Machine Learning model development. Responsibilities include developing AI solutions, collaborating with teams, analyzing large datasets, mentoring junior staff, and monitoring KPIs. Candidates should have a Master's or Ph.D. in a quantitative field, at least 5 years of experience, and proficiency in Python or R, along with knowledge of cloud platforms like AWS.
We are seeking a highly skilled Senior Data Scientist to lead our team in the design and development of innovative AI and Machine Learning models. This is an exciting opportunity for a dynamic individual with expertise in data science methodologies, machine learning algorithms, and driving business insights through advanced analytics.
Key Responsibilities:
• Develop and implement AI solutions to solve complex business challenges, aligning them with business goals and customer needs through cross-functional collaboration.
• Collaborate with data scientists and engineers to ensure smooth integration and deployment of AI solutions.
• Analyze large datasets to uncover trends, build predictive models, and drive business growth.
• Mentor junior data scientists, promoting best practices in AI and machine learning.
• Monitor and report on key performance indicators (KPIs) to measure the effectiveness of AI solutions.
• Stay up-to-date with industry trends and advancements in AI and machine learning, applying this knowledge to improve our solutions.
Requirements and Qualifications:
• A Master's or Ph.D. degree in a quantitative field such as statistics, economics, mathematics, or computer science.
• At least 5 years of experience in data science related fields, with a proven track record of successful projects and complex problem-solving.
• Strong proficiency in programming languages like Python or R, with experience in data manipulation, visualization libraries, machine learning, and statistical analysis.
• Familiarity with cloud-based computing platforms like AWS.
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