Junior Data Scientist

JD – Junior Data Scientist

Experience: 1-2 Y

ears 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.