Junior Data Scientist, Johannesburg

Company Overview

SavageOne stands as a pioneering force in the realm of technology companies on a global scale. We are dedicated to spearheading innovation by harnessing the latest technologies and data-driven insights to instigate transformative shifts and foster sustainable solutions. Our team comprises a diverse ensemble of exceptionally talented individuals driven by a shared passion for leveraging data science to effect positive change.Position Overview

We are seeking a motivated and talented Junior Data Scientist to join our globally distributed team. As a Junior Data Scientist at SavageOne, you will have the opportunity to collaborate with top-tier professionals from around the world, working on challenging projects that push the boundaries of data science and drive meaningful outcomes.Key Responsibilities

Clean, preprocess, and analyze large datasets from various sources to extract actionable insights and identify patterns. Develop and implement machine learning models and algorithms to solve complex business problems and optimize processes. Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions.Utilize statistical techniques to conduct hypothesis testing, A/B testing, and other analytical experiments to validate models and findings. Communicate findings and insights effectively to both technical and non-technical stakeholders through clear visualizations, reports, and presentations. Stay updated with the latest advancements in data science, machine learning, and related fields, and contribute to knowledge sharing within the team.Requirements

Bachelors degree or higher in Computer Science, Data Science, Statistics, Mathematics, or a related field. Strong proficiency in programming languages such as Python, R, or Java, with experience in data manipulation libraries (e.g., Pandas, NumPy) and machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch).Solid understanding of data analysis techniques, statistical concepts, and machine learning algorithms. Experience with SQL and relational databases for data extraction and manipulation. Excellent problem-solving skills and the ability to work independently as well as part of a globally distributed team.Strong communication skills with the ability to articulate complex findings in a clear and concise manner. Prior experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau) is a plus. Passion for data science and a drive to continuously learn and grow in a fast-paced and dynamic environment.

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