Junior Data Scientist - Data Visualization Tools

The Junior Data Scientist will work with cross-functional teams across Data Science, Product and Sales teams. As a Junior Data Scientist, you will be supporting the development and deployment of data-driven solutions to solve complex business problems. You will work closely with senior data scientists, data engineers, and cross-functional teams to extract actionable insights from data, build predictive models, and contribute to the overall data strategy of the organization. High level of integrity is a key requirement as we are dealing with extremely sensitive and confidential healthcare data.

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 cross-functional teams, including data engineers and business analysts.

- Take initiative to learn and experiment with new techniques and tools.

Requirements :

- Bachelor's degree from a reputed Engineering college.

- 1-3 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 non relational databases like MySQL, Postgres, Presto, and Mongo (Athena/redshift experience is an added advantage).

- Proficiency in any modern BI tools like Tableau

- Understanding of Python for Data pre-processing/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).

- High-level written and verbal communication skills.