Data Scientist

Job Description :

Jash Data Sciences: Letting Data Speak!

Harnessing data for innovation, we specialize in data science, engineering, and Industry 4.0. From predictive analytics to image/text intelligence, we empower growth with informed decisions.

Partner with us for data-driven transformation.

Are you familiar with the sensation when your model's loss decreases while its accuracy improves? Have you ever developed a model and tested it on out-of-time samples, only to find that it maintains the same level of accuracy?  We know that feeling, we have been there, and done that.

We're a startup dedicated to providing Data Science solutions globally, fostering a positive work culture centered around intellectual curiosity and continuous learning.

If you're passionate about data, enjoy discovering insights, and thrive on learning about cutting-edge algorithms, we offer an exciting opportunity to collaborate with like-minded individuals on diverse challenges.

Say goodbye to the dull corporate environment - join us for a stimulating startup culture where we tackle tough problems and learn extensively along the way!

What will you be doing?

• 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.

What we need from you

• 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 is required. Scikit-Learn and Pandas knowledge required.

• Experience with at least one Python web framework is required. (Django, Flask, or FastAPI)

• Experience in implementing a Data Science project in a real-world production environment is a big plus.

• Hands-on SQL programming experience with knowledge of windowing functions, subqueries, and various types of joins.

• A track record of competing in Kaggle is strongly preferred

• Show us your git repo/ blog!

Qualification

• 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.