Trainer Data Science
1 day ago
Job Title:
Data Science and Analytics Trainer
Location:
Bhopal
Job Type:
Full-Time / Part-Time
Experience Required:
3+ years in Data Science/Analytics and Training
Job Summary:
We are seeking a passionate and experienced
Data Science and Analytics Trainer
to join our team. The trainer will be responsible for delivering high-quality training sessions to students or professionals on data science tools, techniques, and real-world applications. You will help learners build solid foundations in data science, machine learning, statistics, and business analytics.
Key Responsibilities:
- Design and deliver engaging training sessions on:
- Python/R for data science
- Data wrangling and visualisation (Pandas, Matplotlib, Seaborn, Power BI, Tableau)
- Statistical analysis
- Machine learning (Supervised, Unsupervised, NLP)
- SQL and data querying
- Business analytics and decision-making using data
- Mentor learners on hands-on projects, capstone assignments, and case studies.
- Evaluate learners' progress through quizzes, assignments, and mock interviews.
- Assist in curriculum design and update training materials to align with industry standards.
- Conduct doubt-clearing sessions and one-on-one support.
- Collaborate with other trainers and program managers to improve learning outcomes.
- Stay updated with the latest tools, trends, and technologies in data science and analytics.
Required Skills and Qualifications:
- Bachelor's/Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related field.
- Strong knowledge of Python, R, SQL, Excel, and data visualisation tools.
- Hands-on experience with machine learning libraries such as Scikit-learn, TensorFlow, or Keras.
- Solid understanding of statistics, probability, and analytical problem-solving.
- Prior experience in teaching/training/coaching (preferred).
- Excellent communication and presentation skills.
- Ability to explain complex technical concepts simply and engagingly.
Good to Have:
- Industry certifications like Google Data Analytics, Microsoft Data Scientist Associate, or similar.
- Experience with Big Data tools (Spark, Hadoop) or Cloud platforms (AWS, GCP, Azure).
- Knowledge of BI tools like Tableau, Power BI.
- Familiarity with project lifecycle, model deployment, and version control (Git).
Why Join Us:
- Opportunity to shape future data scientists and analysts.
- Collaborative and growth-oriented work environment.
- Continuous learning and development opportunities.
- Flexible work arrangements and competitive remuneration.
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