Data Science Trainer

Teks Academy; Hyderabad; On-site; USD 6,822 - 11,370; Full time

Job summary

An established industry player is seeking a passionate Data Science Trainer to lead dynamic learning initiatives. In this role, you will empower learners by imparting essential skills in data analysis, machine learning, and data-driven decision-making. Your expertise will guide students through engaging training sessions, practical exercises, and personalized mentorship. This is an exciting opportunity to shape the future of aspiring data scientists while staying at the forefront of industry trends. Join a collaborative team dedicated to fostering a rich educational environment that prepares individuals for success in the data science field.

Qualifications

• Bachelor’s or Master’s degree in Data Science or related field required.
• Proven experience in data science and teaching is essential.

Responsibilities

• Conduct training sessions on data science topics, both online and in-person.
• Create and update course materials to align with industry standards.
• Provide mentorship and feedback to enhance student learning.

Skills

Data Analysis

Machine Learning

Python

R

Statistical Analysis

Data Visualization

Education

Bachelor’s degree in Data Science

Master’s degree in Data Science

Bachelor’s degree in Computer Science

Bachelor’s degree in Statistics

Bachelor’s degree in Mathematics

Tools

Pandas

NumPy

Scikit-learn

Matplotlib

TensorFlow

Job description

We’re looking for an experienced and passionate Data Science Trainer to lead learning initiatives, impart industry-relevant knowledge, and build foundational and advanced skills in data science for our learners. As a Data Science Trainer, you’ll guide individuals or groups through the concepts and techniques needed to succeed in data analysis, machine learning, and data-driven decision-making.

Key Responsibilities:

• Conduct Data Science Training: Lead both online and in-person training sessions on a variety of data science topics such as statistics, programming (Python, R), machine learning, data visualization, and more.
• Create and Curate Course Materials: Develop and update educational resources, such as slides, tutorials, exercises, and datasets, ensuring they align with the latest industry standards.
• Facilitate Hands-On Learning: Engage learners with practical coding exercises and real-world problem-solving tasks to enhance their understanding of data science techniques.
• Assess and Provide Feedback: Evaluate students' progress through assessments, quizzes, and projects, giving personalized feedback to help them improve their skills.
• Stay Current with Trends: Continuously learn about emerging trends, tools, and techniques in data science, integrating these into training materials and courses.
• Provide Mentorship: Offer mentorship to students, helping them build confidence in applying data science concepts, troubleshooting issues, and building portfolios of their work.
• Collaborate and Improve: Work closely with other instructors, curriculum designers, and teams to improve and refine training programs, based on feedback and results.

Required Qualifications:

• Educational Background: Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
• Experience: Demonstrated experience in data science, machine learning, statistical analysis, and working with data programming languages such as Python, R, and SQL.
• Teaching Experience: Proven track record of teaching or training in a technical field, especially data science, either online or in-person.

Technical Expertise: Strong hands-on experience with data science tools and libraries like Pandas, NumPy, Scikit-learn, Matplotlib, Tensor Flow, etc.

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Education and Training

Industries

Higher Education