
Data Science Trainer
1 week ago
Job Title: Data Science TrainerExperience: min. 3 years
**Responsibilities**:
- Develop and deliver engaging and interactive data science training sessions, covering topics such as data manipulation, exploratory data analysis, statistical modeling, machine learning algorithms, and data visualization.
- Design hands-on exercises, projects, and case studies to reinforce key concepts and provide practical experience with real-world datasets.
- Tailor training content and instructional methods to meet the diverse needs and learning styles of participants, ranging from beginners to advanced practitioners.
- Provide personalized feedback and guidance to students to help them master technical skills, overcome challenges, and achieve their learning objectives.
- Stay updated on the latest developments and trends in data science, machine learning, and related fields, and incorporate relevant updates into the curriculum.
- Collaborate with the curriculum development team to continuously improve and enhance training materials based on learner feedback, industry advancements, and emerging technologies.
- Support students through mentoring, office hours, and online forums to address their questions, projects, and career aspirations.
**Qualifications**:
- Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or a related field.
- Minimum of 3 years of professional experience in data science, machine learning, or related roles, with hands-on experience in data analysis, modeling, and visualization.
- Proficiency in programming languages commonly used in data science, such as Python or R, and experience with relevant libraries and frameworks (e.g., Pandas, NumPy, scikit-learn, TensorFlow, PyTorch).
- Strong understanding of statistical concepts and techniques, including hypothesis testing, regression analysis, clustering, and classification.
- Excellent communication and presentation skills, with the ability to explain complex technical concepts clearly and concisely to diverse audiences.
- Passion for education and mentorship, with a genuine desire to help others succeed in their learning and career journeys.
- Continuous learner mindset, with a commitment to staying updated on the latest advancements in data science and machine learning.
**Interview Time**: Sunday 12 PM to 3 PM
**How to Apply**:
- Note: This job description is intended to convey information essential to understanding the scope of the position and is not an exhaustive list of skills, efforts, duties, responsibilities, or working conditions associated with it._
**Job Types**: Full-time, Part-time, Freelance
Contract length: 36 months
**Salary**: ₹13,700.00 - ₹78,337.00 per month
Expected hours: No less than 28 per week
**Benefits**:
- Flexible schedule
Schedule:
- Day shift
- Evening shift
- Fixed shift
- Monday to Friday
- Morning shift
- Rotational shift
- Weekend availability
**Education**:
- Bachelor's (preferred)
**Experience**:
- Data science: 3 years (required)
Ability to Commute:
- Akurdi, Pune, Maharashtra (required)
Work Location: In person
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