Job Description
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: [email protected]
CC: [email protected]
LinkedIn: Apply directly via our LinkedIn job post
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: [email protected]
CC: [email protected]
LinkedIn: Apply directly via our LinkedIn job post
Apply for this Position
Ready to join ? Click the button below to submit your application.
Submit Application