Senior Research Scientist - Data Analysis

Placements24; Pietermaritzburg; Hybrid; ZAR 900,000 - 1,500,000; Full time

Benefits offered by this job

Remote work stipend

Health, dental, and vision insurance

Professional development

Flexible working hours

Job summary

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.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Data analysis

Machine learning

Python

R

Remote collaboration

Education

PhD or Master's in a quantitative field

Tools

NumPy

SciPy

Pandas

Scikit-learn

TensorFlow

AWS

Azure

GCP

Job description

About the Role

Our client is seeking a highly skilled and innovative Senior Research Scientist with a specialization in Data Analysis to join their dynamic, remote-first research and development team. This role is crucial for driving forward cutting-edge scientific projects by extracting meaningful insights from complex datasets. You will work independently and collaboratively with a geographically distributed team of scientists and engineers to tackle challenging research questions and contribute to the development of novel solutions. This is an exceptional opportunity for a motivated individual to make a significant impact in a fast-paced, intellectually stimulating environment, fully supported by a culture that values autonomy, continuous learning, and the advancement of scientific knowledge from anywhere in the world.

Key Responsibilities

• Design and implement advanced statistical analysis plans for large-scale scientific datasets.
• Develop and deploy machine learning models for predictive analytics and pattern recognition.
• Visualize and interpret complex data findings, presenting clear and actionable insights to both technical and non-technical stakeholders.
• Collaborate with cross-functional teams remotely to define research objectives and data requirements.
• Conduct literature reviews and stay abreast of the latest advancements in data science, machine learning, and relevant scientific fields.
• Ensure the integrity, accuracy, and reproducibility of all data analyses and research methodologies.

Requirements

• PhD or Master's degree in a quantitative field such as Statistics, Computer Science, Physics, or a related discipline.
• Proven experience (5+ years) in advanced data analysis, statistical modeling, and machine learning techniques.
• Proficiency in programming languages like Python or R, including relevant scientific libraries (e.g., NumPy, SciPy, Pandas, Scikit-learn, TensorFlow).
• Experience with big data technologies and cloud computing platforms (e.g., AWS, Azure, GCP).
• Excellent communication and presentation skills, with the ability to articulate complex findings effectively in a remote setting.
• Demonstrated ability to work independently, manage multiple projects, and meet deadlines in a remote environment.

Benefits

• Highly competitive salary package and potential for performance-based bonuses.
• Comprehensive remote work setup stipend and ongoing support.
• Generous health, dental, and vision insurance coverage.
• Significant opportunities for professional development, including conference attendance and further training.
• Flexible working hours and a focus on work-life balance within a remote culture.