Weekend Instructor – Data Science (Grades 11 & 12)

PW (PhysicsWallah)


Date: 3 weeks ago
City: Remote, Remote
Contract type: Part time
Remote

Job Opportunity at PhysicsWallah

Position: Weekend Instructor – Data Science (Grades 11 & 12)

Employment Type: Part-Time (Weekend-Based)

Location: Remote (Work From Home)

Company: PhysicsWallah



About the Program

:PhysicsWallah is launching a 1-year and 2-year structured Data Science Program tailored for students of Grades 11 & 12. The curriculum is focused on building computational thinking, Python programming skills, real-world data handling, AI/ML concepts, and project-based learning. Each program culminates in a capstone data-driven project to enhance practical application


.
Key Responsibilitie

s:Deliver interactive and hands-on weekend sessions (Saturday & Sunday) as per the provided curriculu


m.
Teach core topics li

ke:Python Programm

ingWeb Scrap

ingData Analysis using Pandas & Nu

mPyData Visualization (Matplotlib, Seabo

rn)Introduction to Databases (MyS

QL)AI/ML fundament

alsFacilitate collaborative coding exercises and mentor students through project wo

rk.Track student performance and provide actionable feedback on assignments and capstone projec

ts.Coordinate with academic teams to ensure structured delivery and curriculum alignme

nt.Be available during class hours for doubt-clearing, mentoring, and academic suppo


rt.
Requireme

nts:Must-H

ave:Proficiency in Python, Data Analysis Libraries (Pandas, NumPy), Data Visualization (Matplotlib), Databases (MySQL), and basics of AI

/ML.Hands-on experience with real-world data projects and capstone-style applicati

ons.Prior teaching or mentoring experience, preferably with high-school or early-college stude

nts.Strong communication, empathy, and ability to break down complex concepts into easy-to-understand less

ons.Bachelor's degree (or in final year) in Data Science, Computer Science, Engineering, or related fie


lds.
Nice-to-

Have:Familiarity with cloud-based platforms, Jupyter notebooks, or tools like Streamlit, Pl

otly.Experience in EdTech or school-based academic instruc

tion.Portfolio of educational content, YouTube tutorials, or teaching sam


ples.
Weekly Commi

tment:~6–8 hours per weekend (including class delivery, prep, and student interac

tion).Approx. 192 hours annually + project mento


rship.
Compen

sation:Competitive pay (hourly/monthly based on exper


ience).

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