Data Science Educator (Advanced Analytics)

Placements24

Centurion

Hybrid

ZAR 480,000 - 800,000

Part time

3 days ago
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Benefits offered by this job

Remote work
Flexible hours
Professional development
Global student engagement

Job summary

Placements24 is seeking an experienced Data Science Educator specializing in Advanced Analytics to design, develop, and deliver online curriculum for a global student audience. The role is primarily remote with flexible hours and the opportunity to influence cutting-edge data science training.

You will teach machine learning, statistical modeling, and data visualization, create materials, mentor students, and stay current with industry trends.

Qualifications

  • Master’s or PhD in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
  • Minimum of 5 years of professional experience in data science, with a focus on ML, analytics, and modeling.
  • Proven experience designing and delivering technical training or academic courses, preferably online.

Responsibilities

  • Develop and deliver online courses on advanced data science topics incl. ML algorithms, statistical inference, predictive modeling, and big data technologies.
  • Create engaging learning materials: lectures, assignments, projects, case studies in digital formats.
  • Facilitate online workshops, Q&A sessions, and coding labs for practical learning.
  • Evaluate student performance and provide timely, constructive feedback on assignments and exams.
  • Stay current with trends, tools, and techniques in data science and ML and integrate into curriculum.
  • Collaborate with curriculum teams to ensure content is current and industry-aligned.
  • Mentor students, advise on career paths in data science, and guide learning journeys.
  • Contribute to online community forums and peer learning initiatives.
  • Ensure adherence to quality standards for online education.

Skills

Machine learning
Statistical modeling
Data visualization
Curriculum design
Remote teaching
Communication

Education

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

Tools

Python
R
Scikit-learn
TensorFlow
PyTorch
Pandas
NumPy
SQL
NoSQL
Spark
Hadoop

Job description

About the Role

Our client, a rapidly growing tech education provider based in **Centurion, Gauteng**, is seeking an experienced Data Science Educator specializing in Advanced Analytics. This role is primarily remote, offering flexibility and the opportunity to work with a global audience. You will be responsible for designing, developing, and delivering cutting‑edge curriculum focused on machine learning, statistical modeling, and data visualization. The ideal candidate will possess a strong blend of academic expertise and practical, real‑world experience in data science. This is an exciting opportunity to shape the next generation of data scientists and contribute to a dynamic learning environment. The focus will be on providing students with the theoretical knowledge and hands‑on skills necessary to excel in the field of advanced data analytics. We are committed to fostering an inclusive and collaborative remote working culture.

Key Responsibilities
  • Develop and deliver comprehensive online courses on advanced data science topics, including machine learning algorithms, statistical inference, predictive modeling, and big data technologies.
  • Create engaging learning materials, including lectures, assignments, projects, and case studies, utilizing various digital formats.
  • Facilitate online workshops, Q&A sessions, and coding labs to support student learning and practical application.
  • Evaluate student performance through assignments, projects, and examinations, providing timely and constructive feedback.
  • Stay abreast of the latest trends, tools, and techniques in data science and machine learning, integrating them into the curriculum.
  • Collaborate with curriculum development teams to ensure course content is current, relevant, and meets industry standards.
  • Mentor and guide students throughout their learning journey, offering support and advice on career paths in data science.
  • Contribute to the online community forum, fostering engagement and knowledge sharing among learners.
  • Ensure adherence to the company's quality standards for online education.
Requirements
  • Master's or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
  • Minimum of 5 years of professional experience in data science, with a strong focus on machine learning, advanced analytics, and statistical modeling.
  • Proven experience in developing and delivering technical training or academic courses, preferably in an online format.
  • Expertise in programming languages such as Python or R, and proficiency with relevant libraries (e.g., Scikit-learn, TensorFlow, PyTorch, Pandas, NumPy).
  • Solid understanding of database technologies (SQL, NoSQL) and big data frameworks (e.g., Spark, Hadoop).
  • Excellent presentation, communication, and interpersonal skills, suitable for remote interaction.
  • Ability to design and implement effective online learning experiences and assessments.
  • Strong problem‑solving skills and a passion for teaching and mentoring.
  • Experience working with cloud platforms (AWS, Azure, GCP) is a plus.
  • Based in or able to work effectively remotely within **Centurion, Gauteng** or surrounding areas.
Benefits

This contractor role offers a competitive remuneration package, with rates commensurate with experience and expertise. The position provides significant flexibility in terms of working hours and location, aligning with a remote work setup. Opportunities for professional development and engagement with cutting‑edge technologies are abundant. This role allows you to contribute to a leading edge of tech education and directly influence the career trajectories of aspiring data scientists. You will have the chance to work with a diverse and talented team, collaborating on innovative educational products. The contract duration can be extended based on performance and project needs.

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