Lead Data Scientist - Educational Analytics

Placements24; Cape Town; On-site; ZAR 1,200,000 - 2,000,000; Full time

Benefits offered by this job

Relocation assistance

Bonuses based on performance

Health insurance

Learning & development

Job summary

Placements24 is seeking a Lead Data Scientist to spearhead educational analytics initiatives in Cape Town. You will lead a team of data scientists and analysts, building predictive models and translating insights into product improvements for student outcomes.

The role requires 7+ years in data science with leadership experience, strong ML, statistical modeling, and proficiency in Python/R, SQL, and visualization tools. Full-time on-site position with growth opportunities.

Qualifications

• 7+ years of experience in data science with at least 2 years in a leadership role.
• Proven expertise in statistical modeling, ML algorithms, and experimental design.
• Proficiency in Python or R and libraries such as scikit-learn, TensorFlow or PyTorch.
• Strong SQL skills and experience with Spark/Hadoop and data visualization tools.

Responsibilities

• Lead design, development, and deployment of advanced analytical models.
• Develop predictive models for student outcomes and identify at‑risk students.
• Collaborate with product, engineering, and education experts to translate findings into product improvements.
• Mentor a team of data scientists and analysts; drive professional development.
• Define KPIs and establish robust reporting for educational data.
• Stay current with data science advances and apply relevant methods.
• Ensure data quality, integrity, and security across projects.
• Communicate complex results clearly with visualizations for stakeholders.

Skills

Statistical modeling

Machine learning

Leadership

Python / R

SQL

Data visualization

Big data tools

Communication

Education

Master's or PhD in a quantitative field

Tools

scikit-learn

TensorFlow

PyTorch

Tableau

Power BI

Matplotlib

Job description

About the Role

Our client, a leading innovator in educational technology based in scenic Cape Town , Western Cape , is seeking an exceptional Lead Data Scientist to spearhead their educational analytics initiatives. This critical role involves leveraging vast datasets to uncover insights that drive pedagogical improvements, enhance student learning outcomes, and optimize educational strategies. The ideal candidate will possess a deep understanding of statistical modeling, machine learning, and data visualization techniques, coupled with a passion for transforming education through data-driven decision-making. You will lead a team of talented data analysts and scientists, fostering a collaborative environment focused on innovation and impact. This position is based full-time at our Cape Town campus, offering a stimulating work environment alongside a dedicated team focused on shaping the future of learning.

Key Responsibilities

• Lead the design, development, and implementation of advanced analytical models to understand student performance, engagement, and retention patterns.
• Develop predictive models for student success and identify at‑risk students early.
• Collaborate closely with educational experts, product managers, and engineering teams to translate complex data findings into actionable insights and product improvements.
• Mentor and manage a team of data scientists and analysts, providing technical guidance and fostering professional development.
• Define key performance indicators (KPIs) and establish robust reporting mechanisms for educational data.
• Stay abreast of the latest advancements in data science, machine learning, and educational technology, applying relevant techniques to solve challenging problems.
• Ensure data quality, integrity, and security across all analytical projects.
• Communicate complex analytical findings clearly and concisely to both technical and non-technical stakeholders through compelling visualizations and presentations.

Requirements

• Master's or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
• Minimum of seven (7) years of progressive experience in data science, with at least two (2) years in a leadership or team management role.
• Proven expertise in statistical modeling, machine learning algorithms (e.g., regression, classification, clustering, deep learning), and experimental design.
• Proficiency in programming languages such as Python or R, and experience with relevant data science libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Strong SQL skills and experience with big data technologies (e.g., Spark, Hadoop).
• Demonstrated experience in data visualization tools (e.g., Tableau, Power BI, Matplotlib).
• Excellent understanding of educational data and learning sciences is highly desirable.
• Exceptional analytical, problem-solving, and critical thinking abilities.
• Strong leadership, communication, and interpersonal skills, with the ability to inspire and guide a team.

Benefits

• Highly competitive salary and performance-based bonuses.
• Comprehensive health, dental, and vision insurance.
• Generous paid time off and company holidays.
• Opportunities for continuous learning, including access to conferences and workshops.
• A dynamic and collaborative work culture with a focus on innovation.
• Relocation assistance may be available for exceptional candidates.
• Pension fund and other retirement savings plan options.