Junior Data Scientist

We are seeking a Junior Data Scientist to join our team in Sikkim.

In this role, you will support data-driven decision making by collecting and analyzing data, building and evaluating machine learning models, creating visualizations, and collaborating with cross-functional teams.

The ideal candidate has 1–3 years of hands-on experience in Python programming, machine learning, statistics, and SQL, and is eager to grow their skills in a dynamic environment.

Collect, clean, and preprocess data from various sources

Perform exploratory data analysis and statistical analysis

Develop, train, and evaluate machine learning models under guidance

Create data visualizations and dashboards to communicate insights

Write efficient SQL queries for data extraction and transformation

Assist in deploying and monitoring models in production

Collaborate with cross-functional teams to understand requirements and deliver solutions

Document methodologies and present findings to technical and non-technical stakeholders

Bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, or a related field

1–3 years of experience in a data science or analytics role

Proficiency in Python and libraries such as pandas and scikit-learn

Strong understanding of machine learning fundamentals and algorithms

Experience with data analysis and visualization tools (Matplotlib, Seaborn, Plotly)

Knowledge of statistics and probability theory

Experience writing SQL queries and working with relational databases

Excellent problem-solving skills and attention to detail

Good communication skills and ability to work effectively in a team environment

Experience with deep learning frameworks (TensorFlow, Keras, PyTorch)

Familiarity with cloud platforms (AWS, GCP, Azure) and data services

Experience with big data tools such as Hadoop or Spark

Master’s degree in a relevant field

Experience deploying models using Docker or similar technologies

Exposure to version control systems (Git)

Domain knowledge in areas such as finance, healthcare, or retail