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Remote Data Scientist internship at a known tech marketplace and Bengaluru location drives high applicant density.
Core ML and data skills are transferable, though e-commerce product knowledge increases domain sensitivity.
Requires solid ML/DS technical skills and specific coursework, causing moderate shortlisting strictness.
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Own at least one major domain area within the Data Science team such as search, recommendations, or computer vision during the 6-month internship.
Engage end-to-end in ML model development including data wrangling, feature engineering, model selection, training, offline evaluation, A/B testing planning, and productionization under the guidance of a Senior Data Scientist.
Work with large datasets using Python, SQL, and ML frameworks to solve impactful problems in domains like Personalisation, Trust & Safety, AI Automation, and NLP.
Pursuing a related quantitative degree (Computer Science, Mathematics, Statistics, or related field).
Good programming skills in Python and SQL with experience using ML frameworks like TensorFlow, Keras, or Sklearn.
Hands-on experience solving ML and deep learning problems academically or in industry.
Work Experience Required: Not explicitly mentioned in the JD.
Able to collaborate closely with senior data scientists and ML engineers, contributing to a culture of continuous learning and sharing.
Foundational understanding of machine learning fundamentals and architectures with some experience applying them to real problems.
Interested or experienced in domains such as ecommerce, user-generated content, or big data pipelines (Spark/MapReduce) is a plus but not mandatory.