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Zoople Technologies

Data Science Trainer

Early Applicant
  • a month ago
  • Be among the first 50 applicants

Job Description

Hi greetings from Zoople Technologies.

We are looking for Data Science Trainer.

Experience: 6 Months - 1 year
  • 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 6 months 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

Schedule:
  • Day shift

Work Location: In person

More Info

Industry:Other

Function:technology

Job Type:Permanent Job

Skills Required

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Date Posted: 23/10/2024

Job ID: 97584487

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