Data Science Trainer

As part of the Tech Pour Tous initiative, MDSF is implementing a specialized Data Science training program. This training is  targeted at young women between the ages of 15 and 35 who have limited exposure to technology. Before starting the Data  Science track, all participants will complete a foundational digital literacy course. 

The training aims to provide participants with practical Data Science skills and prepare them for real-world projects and  freelancing opportunities. Upon completion of the 5-month training, learners will transition into a 2-month internship program  where they will apply their newly acquired skills in a professional setting. This structured internship component ensures that  the training is practice-driven and employment-oriented. 

Objective 

The objective is to deliver 120 hours of Data Science training to one group of learners over a five-month period, enabling them  to gain practical competencies in data analysis and introductory machine learning using industry-relevant tools. 

Scope of Work 

The Trainer will: 

● Deliver 120 hours of structured Data Science training, divided over 5 months, with 2 sessions per week (3 hours each)

● Develop and execute a progressive curriculum covering: 

● Python programming fundamentals 

● Data structures and data wrangling using Pandas 

● Exploratory data analysis and data visualization with Matplotlib and Seaborn 

● Statistical analysis and probability concepts 

● Introduction to supervised and unsupervised machine learning using Scikit-learn 

● Real-world data project planning, cleaning, modeling, and evaluation 

● Incorporate hands-on exercises, case studies, and industry-relevant datasets throughout the program ● Guide participants in developing a capstone project simulating an end-to-end data science workflow ● Integrate collaborative learning activities and peer reviews to enhance project-based experience ● Conduct pre- and post-assessments to benchmark skill acquisition 

● Provide individual feedback, track learner progress, and adjust pace/content as needed 

● Support internship readiness by reinforcing problem-solving, communication, and documentation skills 

Target Group: Women aged 15–35 with low tech backgrounds who will complete Digital Literacy training prior to starting this  course. 

Deliverables 

The selected trainer is expected to deliver the following:  

● A comprehensive curriculum and training plan tailored to beginners 

● Detailed session plans and interactive teaching materials 

● Delivery of 120 instructional hours 

● Administration of pre-tests and post-tests to assess learning outcomes 

● Regular evaluation of participant progress 

● Compilation of learner portfolios and practical project work 

● Attendance and engagement reports 

● Mid-training and final reports with performance summaries and internship placement recommendations 

Duration of Assignment 

The assignment will be completed within 5 months from the start date. 

● Start Date: 01 July 2025 

● End Date: 30 November 2025 

Trainer Qualifications 

The selected trainer should meet the following criteria: 

1. A bachelor’s degree or higher in Data Science, Computer Science, Statistics, or a related field 2. Minimum of 3 years of professional experience in data science, data analysis, or machine learning 

3. Prior teaching or training experience in data science or programming concepts, preferably in community or youth based programs 

4. Strong working knowledge of Python, Pandas, Matplotlib/Seaborn, and basic machine learning frameworks 5. Experience in using learner-centered and project-based training methodologies 

6. Strong communication, facilitation, and mentorship skills, particularly for working with entry-level learners

7. Capacity to monitor learner progress and adapt instruction accordingly 

Location 

The training sessions will be delivered at Michel Daher Social Foundation, Ferzol, Bekaa, Lebanon.