A dynamic, industrial holding company dedicated to investing in, growing and starting businesses a global footprint in diverse industries including manufacturing, distribution, technology, big data, engineering and energy efficiency seek a Senior Data Scientist. The ideal candidate will have a deep understanding of data science methodologies, machine learning algorithms, and a proven ability to drive business insights through advanced analytics.
Responsibilities:
- Lead the design and development of advanced AI and Machine Learning models to solve complex business challenges.
- Work closely with data scientists and engineers to ensure smooth integration and deployment of AI solutions.
- Collaborate with cross-functional teams to align AI solutions with business goals and customer needs.
- Analyse large datasets to uncover trends and build predictive models.
- Mentor and guide junior data scientists, promoting best practices in AI and machine learning.
- Monitor and report on the effectiveness of scorecard strategies.
- Active Learner, Change Agility, Data Science, Machine Learning, Predictive Modelling, Problem Solving & Analytical, Python Programming, R Code, SQL, Statistical Data Analysis
Qualifications and Experience:
- Master’s or Ph.D degree in a quantitative field, i.e. statistics, economics, mathematics, computer science, or other related field.
- 5+ years of work experience in a data science related field, with a proven track record of delivering successful projects and solving complex problems.
- Strong proficiency in programming languages such as Python or R, with experience in data manipulation, visualization libraries, machine learning and statistical analysis.
- Experience or completed coursework in cloud-based computing platforms like AWS.
The Reference Number for this position is NG59797 which is a Permanent Hybrid position in Durbanville, Cape Town offering a salary of R1.2mil up to R1.4mil CTC salary negotiable based on experience. E-mail Nokuthula on nokuthulag@e-Merge.co.za or call her for a chat on 011 463 3633 to discuss this and other opportunities.
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