Jr. Python Data Scientist

We are looking for a passionate and motivated Junior Python Data Scientist to join our growing data team. This is an excellent opportunity for recent graduates or individuals with up to one year of experience who are eager to apply their Python and data analysis skills to real-world problems. You'll work on meaningful projects involving data preparation, analysis, and machine learning model development under the guidance of experienced data scientists.

Key Responsibilities:

Clean, transform, and analyze data using Python, pandas, and NumPy

Support the development and evaluation of machine learning models using scikit-learn and TensorFlow

Conduct statistical analyses to extract insights and identify trends

Assist in building data pipelines and automating data processes

Communicate findings and present insights in a clear and concise manner

Collaborate with cross-functional teams, including data engineers, product managers, and software developers

Requirements

0–1 years of hands-on experience with Python for data analysis or machine learning

Familiarity with pandas, NumPy, scikit-learn, and TensorFlow

Understanding of core statistical concepts and basic exploratory data analysis (EDA)

Knowledge of machine learning models such as linear regression, decision trees, or classification algorithms (academic or project-based exposure is acceptable)

Strong problem-solving and analytical thinking skills

Good communication and documentation abilities

Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field (or currently pursuing)

Preferred Qualifications:

Completed coursework, certifications, or personal projects related to ML or Data Science

Exposure to advanced ML algorithms

Exposure to Deep Learning

Exposure to version control (e.g., Git), Jupyter notebooks, or cloud environments is a plus

Enthusiastic about learning and growing in the data science field