Data science teacher

Company Description

Bexomi Technologies Private Limited is a predictive cybersecurity company focused on building the world’s first Digital Immune System for Smart Cities . By leveraging Digital Twins, AI-driven anomaly detection, Blockchain logs, and Smart Contracts , we deliver proactive cybersecurity solutions for IoT devices and critical infrastructure. Our solutions support smart traffic systems and urban infrastructure , ensuring predictive defense, automated response, and tamper-proof security.

Headquartered in Indore, India , Bexomi is at the forefront of next-generation cybersecurity innovation.

Role Description

We are looking for a Part-Time Remote Data Science Teacher to conduct online teaching sessions in Data Science, Physics, and Mathematics .

This role is well-suited for educators, researchers, or industry professionals seeking a flexible, lecture-based teaching opportunity . The selected candidate will focus on concept clarity, interactive learning, and academic excellence.

Key Responsibilities

• Deliver online lectures in Data Science, Physics, and Mathematics
• Teach foundational to intermediate data science topics , including statistics and introductory machine learning
• Develop and follow structured lesson plans
• Evaluate student progress through assignments, quizzes, or discussions
• Collaborate with the academic team to enhance curriculum quality

Job Type & Compensation

• Job Type: Part-Time
• Work Mode: Remote / Online
• Payout: Per lecture (details discussed during onboarding)
• Government Benefits: Optional (based on engagement model and eligibility)

Qualifications

• Strong academic foundation in Data Science, Mathematics, Physics, or Science Education
• Prior experience as a teacher, trainer, tutor, or academic instructor
• Ability to explain complex concepts clearly and effectively
• Good communication and interpersonal skills
• Knowledge of Python, R, data science tools, or basic machine learning is an advantage
• Passion for teaching and mentoring students

How to Apply

Interested candidates can apply through any of the following channels :

Email:

CC:

• LinkedIn: Apply directly via our LinkedIn job post