Data Scientist

Overview

Develop and improve ML models on consumer goods data, including semi-structured text, images and numeric data, and suggest new ways of analysing the data that could lead to new products.

What you'll do

• Formulate hypotheses and develop proof-of-concept ML models for NLP and image processing.
• Work on supervised and unsupervised learning tasks.
• Translate industry-specific knowledge into proper models.
• Monitor and ensure data quality.
• Communicate insights effectively in both written and visual form.

What you'll need

• Background in Mathematics, Physics, Natural Sciences or Engineering.
• 2+ years of relevant working experience.
• Advanced knowledge of Python.
• Understanding of merge-request git flow.
• Basic scripting including CI/CD, regular expressions and shell commands.
• Basic webapp development skills.
• Good coding habits: proper documentation, linting, styling, reproducibility, code review best practices and test-driven development.
• Skills to maintain ML models: measure performance, add/remove classes, create effective labelling batches, retrain with assessment of the impact.
• Ability to suggest model improvements, propose working solutions for business problems, ensure the model works with existing models, track model experiments and keep model documentation updated.
• Ability to clearly communicate problem status, actions taken, conclusions, improvements and limitations.
• Understanding of which visualizations to use with different data types, comfort with at least one visualization framework, and ability to create shareable or dynamic reports and apps.
• Proficiency in EDA principles, classical supervised and unsupervised learning techniques and main NLP techniques.
• Good understanding of deep-learning techniques and awareness of model and computational complexity.

Details

• Location: Bengaluru, Karnataka, India.
• Work mode: Hybrid.