Junior Data Scientist - Bengaluru, Karnataka, India - Global Employees

Global Employees

Verified Company

Bengaluru, Karnataka, India

1 week ago

Posted by:

Deepika Kaur

beBee Recuiter

Location:
Bengaluru, Karnataka, India

Experience: 15 years
Notice period: Immediate to max 30 days
Bachelor's degree from reputed Engineering colleges.
13 years of work experience in data Science, preferably in a startup.
Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau).
Proficiency in using query languages such as SQL and experience of working with relational and nonrelational databases like MySQL, PostGres, Presto, Mongo (Athena/redshift experience is an added advantage).
Proficiency in any modern BI tools like Tableau
Understanding of Python for Data preprocessing/building models using numpy, pandas, scikit, and tensorflow. NLP and LLM understanding is good to have.
Understanding of Basic Statistics.
Previous experience with version control systems (e.g., Git).
Highlevel written and verbal communication skills.
The Junior Data Scientist will work with crossfunctional teams across Data Science, Product and Sales teams.
As a Junior Data Scientist, you will be supporting the development and deployment of datadriven solutions to solve complex business problems.
You will work closely with senior data scientists, data engineers, and crossfunctional teams to extract actionable insights from data, build predictive models, and contribute to the overall data strategy of the organization.
A high level of integrity is a key requirement as we are dealing with extremely sensitive and confidential healthcare data.

Job Responsibilities

Collect, clean, and preprocess data from various sources and databases.
Processing confidential data and information according to guidelines.
Implement statistical and machine learning algorithms for predictive modeling.
Conduct model testing and validation, including performance evaluation.
Converting business requirements from client to data driven output
Collaborate effectively with crossfunctional teams, including data engineers and business analysts.
Take initiative to learn and experiment with new techniques and tools.