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
Requirements:
- 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!
Responsibility:
- 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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