Graduate Data Scientist

Placements24; South Africa; Remote; ZAR 550,000 - 900,000; Full time

Benefits offered by this job

Fully remote work

Flexible hours

Professional development

Conference attendance support

Remote work stipend

Job summary

Placements24 is hiring a Graduate Data Scientist for a fully remote role. You will collect and clean large datasets, build predictive models, and communicate insights to stakeholders.

The position emphasizes collaboration with engineering and product teams and the ability to operate independently in a remote environment. Applicants should hold a Master's or PhD in a quantitative field and demonstrate proficiency with Python or R, SQL, and data visualization tools.

Qualifications

• Master's degree or PhD in Statistics, Mathematics, Computer Science, Data Science, or related quantitative field.
• Strong programming skills in Python or R with data science libraries (Pandas, NumPy, Scikit-learn, TensorFlow).
• Experience with SQL and data visualization tools.

Responsibilities

• Collect, clean, and process large datasets from diverse sources.
• Develop and implement statistical models and machine learning algorithms.
• Perform exploratory data analysis to find patterns and insights.
• Visualize data to communicate findings to technical and non-technical audiences.
• Collaborate with engineering and product teams to deploy data science solutions.

Skills

Python

R

SQL

Pandas

NumPy

Scikit-learn

TensorFlow

Visualization

Education

Masters/PhD in statistics, math, CS, data science

Tools

Spark

Hadoop

Tableau

Job description

About the Role

Our client, a pioneering technology firm in Pretoria , is seeking to recruit a highly motivated Graduate Data Scientist. This is an exceptional opportunity for individuals with a strong quantitative background and a passion for uncovering insights from complex datasets. You will be part of a forward-thinking team focused on leveraging data to drive innovation and strategic decision-making. This role is fully remote, offering the flexibility to work from anywhere while contributing to impactful projects from the heart of Gauteng . You will play a crucial role in building predictive models and developing data-driven solutions.

Key Responsibilities

• Collect, clean, and process large and complex datasets from various sources.
• Develop and implement statistical models and machine learning algorithms.
• Perform exploratory data analysis to identify patterns, trends, and anomalies.
• Visualize data to communicate findings effectively to technical and non-technical audiences.
• Collaborate with engineering and product teams to integrate data science solutions into applications.
• Design and conduct A/B tests to evaluate model performance and impact.
• Stay up-to-date with the latest advancements in data science and AI.
• Document methodologies, findings, and code.
• Contribute to the development of data infrastructure and pipelines.
• Present results and recommendations to stakeholders.

Requirements

• A Master's degree or PhD in Statistics, Mathematics, Computer Science, Data Science, or a related quantitative field.
• Strong programming skills in Python or R, including relevant data science libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow).
• Solid understanding of statistical concepts and machine learning techniques.
• Experience with SQL and database management.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and presentation skills.
• Ability to work independently and manage time effectively in a remote setting.
• Familiarity with big data technologies (e.g., Spark, Hadoop) is a plus.
• Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau) is beneficial.
• Must be eligible to work remotely and possess a reliable internet connection.

Benefits

• Competitive salary of R per annum.
• Fully remote work environment with flexible hours.
• Opportunity to work on challenging and impactful data science projects.
• Access to state-of-the-art tools and technologies.
• Continuous learning and professional development opportunities.
• Collaborative and intellectually stimulating work culture.
• Contribution to innovative solutions that shape the future.
• Generous vacation and leave policies.
• Support for attending conferences and workshops.
• Being part of a leading tech innovator in Pretoria .