Yash Technologies Urgently Hiring Fresher Data Scientist/Analyst Trainee

Yash Technologies Urgently Hiring Fresher Data Scientist/Analyst Trainee

Yash Technologies

Job Description

Job Position: Data Scientist/Analyst Trainee

Qualification: B.Tech/ M.Tech/ MCA/MSc in computer science/IT/statistics/Data Science or equivalent from a top educational institution.

Industry Type: IT-Software, Software Services
Functional Area: IT Software – Application Programming, Maintenance
Employment Type: Full Time, Permanent
Role Category: Programming & Design
Job Location: Indore


  1. Strong programming skills. Knowledge of python is desirable.
  2. Knowledge of Machine learning/Deep Learning.
  3. Good understanding of statistics and time-series analysis concepts.
  4. Knowledge of any ML Frameworks such as Sckit-learn, Keras, and Tensorflow.
  5. Hands-on with common data science libraries such as Pandas, NumPy, SciPy, Matplotlib, seaborn, etc.
  6. Knowledge of NLP is plus includes spacy and nltk.
  7. Good understanding of database concepts and SQL.
  8. Knowledge of data visualization and BI tools such as Tableau, PowerBI is plus.
  9. Continuous learning attitude, data-oriented thought process, and ability to understand and implement research papers.
  10. Knowledge of cloud platforms AWS/GCP/Microsoft Azure is plus.
  11. Good communication skills.


  1. As a Trainee Developer for machine learning, you will work in a team of experienced researchers, data scientists, and application developers taking on challenges posed by the Yash customers and product units.
  2. You will work together with a team of dedicated experts including researchers, developers, DevOps engineers, and architects with a single goal of building the best machine learning pipelines for a variety of use cases spanning commerce, agriculture, Insurance, financial markets, and procurement.
  3. You will have the chance to work with the richest data sets available in the world addressing real-world problems.
  4. Your primary goal will be to implement state-of-the-art algorithms and to develop new approaches and technologies for deriving value from our customers’ data.
  5. You will have a chance to select and implement the best technologies and approaches based on your own experience, judgment, and experimentation results.


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