Junior Data Scientist

JD – Junior Data Scientist  

Experience: 1-2 Years  

Work mode: On-site 

Location: Bangalore 

Job Summary 

We are looking for a passionate and detail-oriented junior data scientist to join our team. The ideal candidate should have a strong foundation in statistics, machine learning, Python, and SQL, with the ability to analyse data, build predictive models, and deliver actionable insights.  

Must-Have Skills 

• 1–2 years of experience in data science. 
• Strong knowledge of Statistics (Probability, Hypothesis Testing, regression analysis, and Statistical Inference) 
• Hands-on experience with Machine Learning algorithms (Supervised and Unsupervised Learning) 
• Proficiency in Python and libraries such as NumPy, Pandas, Scikit-learn, and Matplotlib) 
• Strong SQL skills for data extraction and manipulation along with knowledge of data cleaning, data preprocessing, and feature engineering. 
• Familiarity with Git for version control 
• Excellent analytical, problem-solving, and debugging abilities with strong verbal and written communication skills. 

Good-to-Have Skills 

• Experience with Streamlit for building interactive applications 
• Knowledge of Power BI or Tableau 
• Exposure to cloud platforms such as AWS, Azure, or Google Cloud 
• Understanding of Deep Learning concepts and frameworks 
• Experience with Jupyter Notebook 
• Familiarity with Agile development practices 

Key Responsibilities 

• Collect, clean, transform, and analyse structured and unstructured data. 
• Develop, train, evaluate, and optimise machine learning models. 
• Perform statistical analysis to identify trends and solve business problems. 
• Write efficient SQL queries for data extraction, transformation, and analysis. 
• Create meaningful visualisations and dashboards to communicate insights. 
• Collaborate with business stakeholders to understand requirements and provide data-driven solutions. 
• Build and maintain data science applications using Python and Streamlit. 
• Use Git for code versioning and collaboration. 
• Document methodologies, models, and findings effectively. 
• Stay updated with emerging trends and best practices in data science and machine learning. 

Qualifications 

• Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, Engineering, or a related field.