Essential Skills Proficiency in Python for data science and production code development. Strong experience with classical machine learning algorithms and applied AI techniques. Practical experience building and training deep learning models using TensorFlow. Familiarity with MLOps practices for deploying and managing models in production. Experience with data engineering tasks: ETL, preprocessing, feature engineering, and visualization. Strong analytical and problem-solving skills with a focus on performance, efficiency, and scalability. Experience engaging with stakeholders and translating business needs into technical solutions. Role and Responsibilities Research, design, and implement deep learning and machine learning models to address business needs. Translate stakeholder requirements into effective ML solutions. Write production-level Python code and contribute to reusable machine learning pipelines. Collaborate with international teams of data scientists, ML engineers, and software engineers. Support low-code/no-code solutions for business users where applicable. Stay current with advances in data science and implement best practices across projects. Qualifications: Minimum Masters Degree in Data Science, Computer Science, Statistics, Engineering, or a related field with strong mathematical foundations. 35 years of hands-on experience in data science, machine learning, and applied AI.
Data Scientist (Advanced) 2522
OPEN SOURCE (PTY) LTD
menlyn, menlyn
Published 4 days ago
Report job