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Data Science & Data Analytics Trainer (Part-Time / Weekends)

Data Science & Data Analytics Trainer (Part-Time / Weekends)

DcodetechNagpur, IN
9 hours ago
Job description

Job Description : Data Science & Data Analytics Trainer (Part-Time / Weekends)-

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 Industry Standards.

  • Note : Only Candidates from Mumbai , Navi Mumbai, Thane Region, Kalyan-Dombivali Locations will be considered for Interview call.

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  or call us at  8080811662 .

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