Data Scientist - Educational Analytics

Placements24; Polokwane; Híbrido; ZAR 900.000 - 1.300.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive salary

Medical and retirement benefits

Hybrid work model

Growth opportunities

Descripción de la vacante

Placements24 in Polokwane, Limpopo, is seeking a Data Scientist specializing in Educational Analytics to derive actionable insights from student data. The role combines data collection, modeling, and stakeholder communication in a hybrid Polokwane-based setting with remote work options.

You will design experiments, build predictive models for student success, and present results to product and education teams. Strong Python/R, SQL, and visualization skills are essential.

Formación

• A Master's or Ph.D. degree in Data Science, Statistics, CS, Mathematics, or related field.
• Minimum of 4 years of professional data science/analytics experience, educational data preferred.
• Proficiency in Python or R and libraries such as Pandas, NumPy, Scikit-learn, TensorFlow.
• Strong SQL skills for data extraction and manipulation.

Responsabilidades

• Collect, clean, and preprocess large educational datasets from platforms and student interactions.
• Develop statistical models and ML algorithms to analyze performance, engagement, and learning patterns.
• Design and conduct A/B tests to evaluate interventions and features.
• Create visualizations and dashboards to communicate findings to technical and non-technical audiences.
• Collaborate with product managers, engineers, and instructional designers on key metrics.
• Build predictive models for student success and personalized learning paths.

Conocimientos

Python

R

SQL

Data visualization

Statistics

Machine learning

Experiment design

Communication

Educación

Master's or PhD in Data Science

Herramientas

Pandas

NumPy

Scikit-learn

TensorFlow

Tableau

Descripción del empleo

About the Role

Our client, an innovative EdTech company focused on personalized learning solutions, is looking for a talented Data Scientist specializing in Educational Analytics. This role is integral to deriving actionable insights from student data to enhance learning outcomes and product development. The position operates on a hybrid model, requiring collaboration at our Polokwane office while offering flexibility for remote work. The Data Scientist will be responsible for collecting, cleaning, analyzing, and interpreting complex educational datasets, developing predictive models, and presenting findings to stakeholders. We seek a candidate passionate about leveraging data to transform education, based in or willing to commute to Polokwane, Limpopo.

Key Responsibilities

• Collect, clean, and preprocess large datasets from various educational platforms and student interactions.
• Develop and implement statistical models and machine learning algorithms to analyze student performance, engagement, and learning patterns.
• Design and conduct A/B tests and other experiments to evaluate the effectiveness of educational interventions and product features.
• Create compelling data visualizations and dashboards to communicate complex findings to both technical and non-technical audiences.
• Collaborate with product managers, engineers, and instructional designers to identify key metrics and drive data-informed decision-making.
• Build predictive models for student success, dropout risk, and personalized learning pathways.
• Ensure data privacy and security protocols are adhered to in all data handling processes.
• Stay abreast of the latest advances in data science, machine learning, and educational technology.

Requirements

• A Master's or Ph.D. degree in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field.
• Minimum of 4 years of professional experience in data science or analytics, with a focus on educational data preferred.
• Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow).
• Strong experience with SQL for data extraction and manipulation.
• Familiarity with data visualization tools (e.g., Tableau, Matplotlib, Seaborn).
• Solid understanding of statistical modeling, machine learning techniques, and experimental design.
• Excellent analytical, problem‑solving, and critical‑thinking skills.
• Strong communication and presentation skills, with the ability to explain technical concepts clearly.
• Experience working in a hybrid environment and comfortable collaborating remotely.
• Must be authorized to work in South Africa and available for periodic on‑site work in Polokwane.

Benefits

• Our client offers a highly competitive salary, comprehensive medical and retirement benefits, and performance‑based bonuses.
• The hybrid work model provides flexibility and work‑life balance.
• Employees benefit from access to cutting‑edge technology, opportunities for professional growth, and the chance to work on impactful projects that are shaping the future of education in Polokwane and beyond.
• Join a team of passionate innovators dedicated to improving learning through data.