DATA SCIENTIST TRAINER

2 years

0 Lacs

Posted:1 day ago| Platform: GlassDoor logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Job Title: Data Scientist Trainer
Company: Insta Dot Analytics
Location: Vijay Nagar, Indore
Job Type: Full-Time | Onsite
Experience: 2+ Years (Preferred)

About Us

Insta Dot Analytics is a fast-growing data analytics company committed to empowering businesses with data-driven decision-making. We specialize in advanced analytics, machine learning, and AI solutions. As we expand, we’re looking for a passionate and knowledgeable Data Scientist Trainer to join our Indore office and help shape the next generation of data professionals.

Job Summary

We are seeking a Data Scientist Trainer with a strong foundation in data science, machine learning, and Python programming. The ideal candidate should have hands-on experience in real-world data science projects and a passion for teaching. You’ll be responsible for delivering engaging, high-quality training to aspiring data scientists, both freshers and professionals.

Key Responsibilities

· Design and deliver interactive training sessions on Data Science, Python, Machine Learning, and related technologies.

· Develop training materials, case studies, coding exercises, and assessments.

· Provide one-on-one mentorship to students and guide them through projects and assignments.

· Conduct regular evaluations, provide feedback, and track student progress.

· Stay up-to-date with industry trends and tools to ensure training content is relevant and current.

Required Skills & Qualifications

· Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field.

· Minimum 2 years of hands-on experience in Data Science or Machine Learning.

· Proficiency in Python, pandas, NumPy, scikit-learn, matplotlib/seaborn, etc.

· Strong understanding of data wrangling, EDA, feature engineering, model building, and evaluation.

· Experience with real-time projects and datasets.

Job Types: Full-time, Permanent

Work Location: In person

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