Jash Data Sciences Hiring Drive 2024 For Data Scientist | Location Pune

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Jash Data Sciences Hiring Drive 2024: Jash Data Sciences Hiring Drive 2024 for its Data Scientist. Jash Data Sciences Drive organizes off-campus drives for candidates in any batch. To apply, candidates should have bachelors/ Masters degree in Computer Science. if you are interested, please apply as soon as possible.

Company Name: Jash Data Sciences

Role: Data Scientist

Location: Pune

Experience: 0-5 years  

Qualification: Bachelors/ Masters degree in Computer Science

Batch: Any

Job Type: Full Time

Salary: 8,54,490 LPA (Expected)

Jash Data Sciences Hiring Drive 2024


  • 0-5 years of experience working on Data Science projects
  • Bachelors/ Masters degree in Computer Science
  • Multiple courses on Machine Learning and Deep Learning are required. Either as part of a degree or completed externally via self-learning
  • Candidates who have demonstrated a zeal for learning and keeping up to date with technology by continuing to do various courses/self-learning will be given high preference.
  • Strong understanding of Machine Learning and Deep Learning Concepts.
  • (Random forests, GBMs, Deep neural nets, Convolutional NN, Recurrent NN, Ensemble methods) 
  • Strong Python programming ability with several hands-on projects implemented. 
  • Hands-on experience in creating models using either Tensorflow or Pytorch required. Scikit-Learn and Pandas knowledge required. 
  • Experience with at least one Python web framework required. (Django, Flask, or FastAPI)
  • Experience in implementing a Data Science project in a real-world production environment a big plus. 
  • Hands-on SQL programming experience with knowledge of windowing functions, subqueries, and various types of joins.
  • Track record of competing in Kaggle is strongly preferred 
  • Show us your git repo/ blog! 


  • Work on challenging data science projects from end to end 
  • Have thoughtful discussions with customers to understand their business requirements. Translate those business requirements into a data science problem. 
  • Assess the availability of data and design a solution to solve the problem. 
  • Train and fine-tune models, measure their performance, and deploy them in production.
  • Measure their performance in production and make adjustments if required. 
  • Communicate the results of the model crisply and clearly. 
  • Building sophisticated data pipelines to process large amounts of data in Data Lakes and Data Warehouses.
  • Creating efficient SQL queries and understanding query execution plans for tuning queries on engines like PostgreSQL.
  • Performance tuning of OLAP/ OLTP databases by creating indices, tables, and views.

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