Data Science Trainer

Technology Pvt. Ltd.; Patna; Remote; INR 279,000 - 558,000; Part time

Benefits offered by this job

Flexible hours

Opportunity to work remotely

Job summary

An innovative training organization based in Patna is seeking a Data Science Trainer to deliver engaging online training sessions. This role is suitable for both experienced professionals and fresh graduates, focusing on a range of data science topics from data analysis to machine learning. Ideal candidates will have strong teaching abilities and technical skills, with a passion for mentoring students.

Qualifications

• Minimum of 2-5 years of professional experience in data science.
• Prior experience in teaching or training, especially in a freelance capacity is preferred.
• Excellent communication skills to simplify complex concepts.

Responsibilities

• Design and develop comprehensive training programs on data science.
• Create and regularly update training materials including lectures and exercises.
• Conduct live, interactive training sessions via online platforms.
• Evaluate student progress through quizzes and assignments.
• Offer personalized support to students.

Skills

Data Analysis

Machine Learning

Statistical Modeling

Teaching

Communication Skills

Education

Degree in Data Science

Certifications in Data Science

Tools

Python

R

SQL

Tableau

AWS

Job description

Overview

Job Description: We are seeking a Data Science Trainer to deliver high-quality training sessions for individuals and groups. This role is ideal for both experienced professionals and fresh graduates who are passionate about teaching data science concepts, tools, and techniques. As a freelance Data Science Trainer, you will design, develop, and conduct engaging courses that cover topics ranging from data analysis and machine learning to deep learning and data visualization.

Responsibilities

• Course Development: Design and develop comprehensive training programs on data science, tailored for beginner, intermediate, and advanced levels, covering topics such as Python/R programming, statistics, machine learning, and data visualization.
• Content Creation: Create and regularly update training materials, including lectures, hands-on exercises, datasets, projects, and case studies that reflect real-world data science applications.
• Training Delivery: Conduct live, interactive training sessions via online platforms, teaching essential data science skills like data wrangling, exploratory data analysis, feature engineering, model building, and evaluation.
• Student Assessment: Evaluate student progress through quizzes, assignments, and practical projects. Provide constructive feedback to support skill development and address any learning gaps.
• Support and Mentorship: Offer personalized support to students, responding to their queries and helping them troubleshoot issues with coding, algorithms, and data analysis.
• Continuous Learning: Stay updated with the latest trends in data science, machine learning, and AI, incorporating new tools, libraries, and methodologies into your training sessions.

Qualifications

For Experienced Professionals:

• Experience: Minimum of 2-5 years of professional experience in data science, including hands-on experience with data analysis, machine learning, and statistical modeling.
• Teaching Experience: Prior experience in teaching or training, especially in a freelance or remote capacity, is highly desirable.
• Technical Skills: Proficiency in data science tools such as Python, R, SQL, and libraries like Pandas, NumPy, Scikit-learn, TensorFlow, and Matplotlib. Experience with data visualization tools (e.g., Tableau, Power BI) and cloud platforms (e.g., AWS, Azure, Google Cloud) is a plus.
• Certifications: Certifications in data science or related fields (e.g., Certified Data Scientist, Microsoft Data Science Certification) are preferred but not mandatory.
• Communication Skills: Excellent communication skills, with the ability to simplify complex data science concepts for diverse audiences.

For Freshers:

• Education: A degree or certification in Data Science, Computer Science, Statistics, Mathematics, or a related field.
• Technical Skills: Proficiency in Python or R, with experience gained through academic projects, personal initiatives, or internships. Basic knowledge of data analysis, machine learning, and visualization techniques.
• Passion for Teaching: A genuine interest in teaching and mentoring students, coupled with a willingness to learn and adopt new instructional techniques.
• Communication Skills: Strong verbal and written communication skills, capable of explaining technical concepts clearly and effectively.