Data Science Instructor
6 days ago
About the Role
We are seeking a passionate and knowledgeable
Data Science Instructor
to teach and mentor learners in core data science concepts using
Python and R
. The ideal candidate combines strong technical expertise with excellent teaching and communication skills. You will guide students through hands-on projects, real-world case studies, and data-driven problem-solving to help them become industry-ready data professionals.
Key Responsibilities
- Deliver engaging and interactive lectures, workshops, and tutorials on
Data Science, Statistics, Python, and R programming
. - Develop, update, and maintain course materials, lesson plans, and assessments.
- Provide one-on-one mentorship and feedback to students on projects and assignments.
- Teach key topics such as:
- Data wrangling and cleaning (Pandas, dplyr, etc.)
- Exploratory Data Analysis (EDA) and visualization (Matplotlib, ggplot2, Seaborn)
- Statistical modeling and hypothesis testing
- Machine learning algorithms (Scikit-learn, caret, etc.)
- Model evaluation and deployment
- Foster a supportive learning environment that encourages curiosity and collaboration.
- Stay current with emerging trends and tools in the data science ecosystem.
Requirements
- Proven experience in
data analysis, data science, or machine learning
using
Python and R
. - Proficiency in key data science libraries:
- Python:
NumPy, Pandas, Scikit-learn, Matplotlib, Seaborn - R:
tidyverse, dplyr, ggplot2, caret - Strong understanding of statistical modeling, data visualization, and machine learning principles.
- Excellent communication and presentation skills.
- Prior teaching, mentoring, or training experience (preferred but not mandatory).
Nice to Have
- Experience with SQL, Power BI, or Tableau.
- Familiarity with cloud tools (AWS, Azure, or Google Cloud).
- Industry project experience or portfolio showcasing applied data science work.
What We Offer
- Competitive compensation (N5000 per hour)
- Flexible teaching schedule
- Opportunity to shape future data professionals
- Collaborative and innovative work environment
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