Data Science Trainer

Hi greetings from Zoople Technologies.

We are looking for Data Science Trainer.

Experience: 1 year minimum

Key Responsibilities:

• Conduct Training Sessions: Lead comprehensive training sessions on data science topics including data analysis, machine learning, and data visualization.
• Develop Training Material: Create, refine, and maintain course content, presentations, and practical exercises that align with industry standards.
• Assess and Support: Evaluate student progress through assessments and provide guidance to address learning challenges effectively.
• Stay Updated: Continuously update training material based on the latest trends and advancements in data science and related technologies.
• Collaborate: Work closely with other team members and stakeholders to enhance training programs and ensure they meet educational objectives.

Technical Skills Required:

• PowerBI: Proficiency in creating and managing interactive reports and dashboards.
• SQL: Advanced skills in querying and managing databases.
• Python: Strong programming skills with experience in data manipulation and analysis.
• scikit-learn: Practical experience with machine learning algorithms and techniques.
• Deep Learning: Practical knowledge of deep learning concepts and frameworks (e.g., TensorFlow, Keras) is advantageous.
• Other Skills: Familiarity with data preprocessing, statistical analysis, and data visualization tools.

Requirements:

• Experience: Minimum of 1 year of hands-on experience in data science or a related field.
• Educational Background: Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Engineering, or a related discipline.
• Communication Skills: Excellent verbal and written communication skills with the ability to present complex information in an accessible manner.
• Teaching Skills: Prior experience in teaching or training is desirable, with a proven ability to engage and motivate students.

Job Type: Full-time

Pay: ₹25,000.00 - ₹30,000.00 per month

Work Location: In person