Data Science Trainer

Year    MH, IN, India

Job Description

Location:

Just a 2-minute walk from Thane West Railway Station, Platform No. 1

Position Type:

Part-Time (Weekends - Saturday & Sunday)

Experience Required:

5-6 Years in Data Science/Analytics

Remuneration (Salary)

: As per Industrial Standards.

About the Role



Are you a Data Scientist or Analyst passionate about mentoring the next generation of data professionals? We are a leading training institute in Thane seeking an experienced and dynamic trainer to lead our part-time Data Science and Data Analytics programs.

This is an ideal opportunity for a seasoned expert to share their real-world knowledge in a flexible, weekend-only role. If you thrive on breaking down complex data concepts and empowering students with practical, industry-relevant skills, we encourage you to apply.

Key Responsibilities



Deliver engaging and comprehensive training sessions that blend core theory with hands-on, practical implementation.

Design and update a cutting-edge curriculum covering the full spectrum of Data Science and Data Analytics, from foundational statistics to advanced machine learning.

Conduct interactive labs and workshops using real-world datasets and case studies.

Guide students through end-to-end projects, including data cleaning, analysis, visualization, and model deployment.

Foster a collaborative learning environment, providing constructive feedback and resolving student queries effectively.

Develop and maintain high-quality training materials, including code notebooks, presentations, and project guides.

Assess and evaluate student progress through assignments, projects, and practical tests.

Must-Have Skills & Qualifications



5-6 years of hands-on professional experience

in a Data Scientist, Data Analyst, or similar role.

Proven experience in teaching, mentoring, or conducting training sessions with confidence.

Expert, practical proficiency

in the following tools and technologies:

o

Programming:

Python

(Must-have), with strong knowledge of libraries like Pandas, NumPy, Scikit-learn, Matplotlib, and Seaborn.

o

Data Handling & SQL:

Advanced

SQL

for data querying and manipulation.

o

Statistics & Mathematics:

Strong foundation in descriptive & inferential statistics, probability, and linear algebra.

o

Machine Learning:

Solid understanding and implementation experience of ML algorithms (Supervised, Unsupervised), model evaluation, and validation techniques.

o

Data Visualization:

Expertise in creating dashboards using tools like

Tableau

or

Power BI

.

o

Big Data Fundamentals:

Familiarity with big data concepts and platforms like Spark is a plus.

Ideal Candidate Profile



Exceptional communication and presentation skills, with the ability to explain intricate topics clearly.

A genuine passion for teaching and a student-centric approach.

Stays abreast of the latest trends and technologies in the data field (e.g., GenAI, LLMs, MLOps).

Self-motivated, punctual, and reliable with a professional demeanor.

What We Offer



Highly Flexible Weekend Batch Timings

(Saturday & Sunday) to complement your schedule.

An

extremely convenient location

- merely a 2-minute walking distance from Thane West Station.

A competitive and attractive remuneration package.

An opportunity to build your profile as an influential mentor and industry expert.

The satisfaction of shaping successful careers in one of the most high-demand fields.

How to Apply:



If you are excited about this opportunity and meet the above criteria, please send your updated resume to

hr@dcodetech.in/shankardcodetech@gmail.com

or call us at

8080811662

/

74030 06777



Job Types: Part-time, Freelance
Contract length: 240 months

Pay: ₹200,000.00 - ₹500,000.00 per month

Expected hours: 2 per week

Work Location: In person

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Job Detail

  • Job Id
    JD4549321
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Part Time
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    MH, IN, India
  • Education
    Not mentioned
  • Experience
    Year