Senior Data Analysis Scientist - Remote ML & Insights

Placements24; Pietermaritzburg; Ibrido; ZAR 900.000 - 1.500.000; Tempo pieno

Vantaggi offerti da questo lavoro

Remote work stipend

Health, dental, and vision insurance

Professional development

Flexible working hours

Descrizione del lavoro

Placements24 seeks a Senior Research Scientist with a Data Analysis focus to join a remote-first R&D team. You will design and implement advanced analyses, develop ML models, and present actionable insights to diverse stakeholders.

The ideal candidate holds a PhD or Master’s in a quantitative field, 5+ years in data analysis and ML, and strong Python or R skills with libraries such as NumPy, SciPy, Pandas, Scikit-learn, and TensorFlow. Cloud experience is a plus.

Competenze

• PhD or Master's in a quantitative field.
• 5+ years of advanced data analysis and ML experience.
• Proficiency in Python or R with relevant libraries.
• Experience with big data tech and cloud platforms (AWS/Azure/GCP).
• Excellent communication and remote collaboration skills.
• Ability to work independently and manage multiple projects.

Mansioni

• Design and implement advanced statistical analysis plans for large-scale datasets.
• Develop and deploy machine learning models for predictive analytics and pattern recognition.
• Visualize and interpret data findings and present to technical and non-technical stakeholders.
• Collaborate with cross-functional teams remotely to define research objectives and data requirements.
• Conduct literature reviews and stay updated on data science and ML advancements.
• Ensure integrity, accuracy, and reproducibility of analyses and methodologies.

Conoscenze

Data analysis

Machine learning

Python

R

Remote collaboration

Formazione

PhD or Master's in a quantitative field

Strumenti

NumPy

SciPy

Pandas

Scikit-learn

TensorFlow

AWS

Azure

GCP

Descrizione del lavoro

Placements24 seeks a Senior Research Scientist with a Data Analysis focus to join a remote-first R&D team. You will design and implement advanced analyses, develop ML models, and present actionable insights to diverse stakeholders.

The ideal candidate holds a PhD or Master’s in a quantitative field, 5+ years in data analysis and ML, and strong Python or R skills with libraries such as NumPy, SciPy, Pandas, Scikit-learn, and TensorFlow. Cloud experience is a plus.