Data Science Trainer

Job Position : "Data Science Trainer"

Available Opportunity for : Freelance, Part-time, Full time

Job Summary:

We are looking for an experienced Data Science Trainer with 2–5 years of industry experience to deliver hands-on training in data science, machine learning, and AI to students and professionals. The trainer will translate real-world experience into practical learning sessions and guide participants in building industry-relevant skills.

Key Responsibilities:

• Conduct interactive training sessions and practical labs on Python, R, SQL, data visualization, statistics, machine learning, and AI concepts.
• Develop and update course content aligned with the latest industry trends and technologies.
• Mentor learners and provide guidance for certifications or career growth in Data Science.
• Assess trainee performance and provide constructive feedback.
• Collaborate with the training team to enhance learning methodologies and outcomes.

Required Skills & Qualifications:

• Bachelor’s or Master’s degree in Computer Science, IT, Statistics, or related field.
• 2–5 years of hands-on experience in data science, analytics, or machine learning roles.
• Strong knowledge of Python, R, SQL, Tableau/Power BI, and ML libraries (scikit-learn, TensorFlow, PyTorch).
• Excellent communication and presentation skills.
• Prior teaching or mentoring experience is a plus.

Salary: As Per Industry Standards (Salary Negotiable for Right Candidates)

Location : (Just Near Walkable Distance of 2 min. Only, from Platform No.1 Thane West Rly. Station) 1/105, Navrang Arcade, Gopal Krishna Gokhale Marg, Near Alok Hotel, Naik Wadi, Naupada, Thane West, Maharashtra – 400602

How to Apply: Send your CV and cover letter to: hr@dcodetech.in

Contact HR : PARTH (8080811662)

Job Types: Full-time, Freelance

Pay: ₹30,000.00 - ₹45,000.00 per month

Work Location: In person

Job Types: Full-time, Part-time, Permanent, Freelance
Contract length: 104.286 weeks

Pay: ₹20,000.00 - ₹40,000.00 per month

Expected hours: 2 per week

Education:

• Master's (Preferred)

Work Location: In person