Job Title

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