Junior Data Scientist - Python - SQL

Git, Docker (optional) As a Data Scientist, your role involves cleaning and preprocessing data for modeling, conducting exploratory data analysis and feature engineering, building and evaluating machine learning models, interpreting model results, and effectively communicating findings. You will collaborate with cross-functional teams to deploy models and ensure the documentation of methodologies for maintaining reproducible code. Key Responsibilities:

Clean and preprocess data for modeling. - Conduct exploratory data analysis and feature engineering. - Build and evaluate machine learning models. - Interpret model results and communicate findings. - Collaborate with cross-functional teams to deploy models. - Document methodologies and maintain reproducible code. Required Skills:

Strong programming skills in Python or R. - Knowledge of machine learning algorithms (regression, classification, clustering). - Experience with libraries like Scikit-learn, TensorFlow, or PyTorch. - Understanding of statistics and probability. - Ability to visualize data and model outputs. Qualifications:

Bachelors or Masters degree in Data Science, Computer Science, Statistics, or a related field. - Experience through coursework, internships, or personal projects. In addition to the above, you should be proficient in using tools and technologies such as:

Python (NumPy, Pandas, Scikit-learn)

Jupyter Notebooks

SQL, TensorFlow, PyTorch (basic)

Git, Docker (optional)