Junior Data Scientist
Skills
About This Role
About the Role: 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. Responsibilities: 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 Required Qualifications: 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 Preferred Qualifications: 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
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