Remote Graduate Data Scientist

Placements24; Randburg; Hybrid; ZAR 300,000 - 520,000; Full time

Benefits offered by this job

Stock options

Health insurance

Paid time off

Job summary

Placements24 seeks a highly intelligent Graduate Data Scientist for a fully remote role. You will work on AI and ML projects, handling large datasets, building predictive models, and extracting actionable insights to drive business value.

The role emphasizes strong statistical foundations, programming skills in Python or R, and collaboration within a globally distributed team. Remote-first environment offers mentorship and professional development opportunities.

Qualifications

• Master's or PhD in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
• Strong foundation in statistical modeling, ML algorithms, and data mining techniques.
• Proficiency in Python or R and experience with Pandas/NumPy.
• Experience with ML frameworks (Scikit-learn, TensorFlow, PyTorch).
• Solid SQL and database experience.

Responsibilities

• Collect, clean, and preprocess large datasets.
• Develop, train, and evaluate ML models for prediction/classification.
• Conduct exploratory data analysis to uncover trends.
• Deploy models to production environments.
• Design experiments to test hypotheses and validate findings.
• Collaborate with engineers and product managers to integrate solutions.
• Communicate findings clearly to technical and non-technical audiences.
• Stay updated with data science advancements.

Skills

Problem solving

Analytical thinking

Remote collaboration

Independent work

Education

Master's or PhD in Data Science/CS/Statistics/Math

Tools

Python

R

Pandas

NumPy

Scikit-learn

TensorFlow

PyTorch

SQL

Spark

Hadoop

Job description

About the Role

Our client, a cutting-edge technology firm specializing in AI and machine learning solutions, is seeking highly intelligent and motivated Graduate Data Scientists to join their exclusively remote team. This is a premier opportunity for recent graduates to contribute to groundbreaking projects, applying advanced statistical and machine learning techniques to solve complex business challenges. You will work with massive datasets, develop predictive models, and extract actionable insights that drive innovation. The role requires a strong theoretical foundation in mathematics, statistics, and computer science, coupled with practical programming skills. As part of a globally distributed, collaborative team, you will benefit from expert mentorship, access to state-of-the-art tools, and extensive opportunities for professional development. This is a chance to shape the future of data science from anywhere, contributing to impactful work in a dynamic, remote-first environment.

Key Responsibilities

• Collect, clean, and preprocess large and complex datasets.
• Develop, train, and evaluate machine learning models for prediction and classification tasks.
• Conduct exploratory data analysis to uncover trends and insights.
• Implement and deploy models into production environments.
• Design and execute experiments to test hypotheses and validate findings.
• Collaborate with engineers and product managers to integrate data science solutions.
• Communicate complex findings and methodologies clearly to both technical and non-technical audiences.
• Stay current with the latest advancements in data science, machine learning, and AI.
• Contribute to the development of data infrastructure and tooling.
• Document methodologies, code, and results thoroughly.

Requirements

• A recent graduate with a Master's or PhD in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
• Strong foundation in statistical modeling, machine learning algorithms, and data mining techniques.
• Proficiency in programming languages commonly used in data science, such as Python or R.
• Experience with data manipulation libraries (e.g., Pandas, NumPy) and machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch).
• Solid understanding of SQL and experience working with databases.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration skills, vital for remote team environments.
• Ability to work independently, manage priorities, and deliver results remotely.
• Familiarity with big data technologies (e.g., Spark, Hadoop) is a plus.
• A passion for data and uncovering insights from complex information.

Benefits

• Our client offers a highly competitive salary, stock options, and a comprehensive benefits package including health insurance, retirement contributions, and generous paid time off.
• As a fully remote employee, you will enjoy maximum flexibility and autonomy, supported by a company culture that values work-life balance and innovation.
• Our client provides access to leading-edge technology, continuous learning platforms, and opportunities to attend virtual conferences and workshops.
• The company actively invests in the professional growth of its remote workforce, offering clear career progression paths.
• This role offers the unique advantage of working on challenging, impactful projects from any location, contributing to the forefront of AI and machine learning advancements.