Principal ML Scientist - Search

Role Description: Principal Machine Learning Scientist - Search

Bangalore

About the Team:

What are we looking for ?

• Education

  : Bachelor’s or Master’s Degree in Data Science, Computer Science, Statistics, or a related field from a reputable institution.

• Experience

  :
• 10+ years of industry experience in software engineering with at least 8+ years in Data Science.
• Proven track record of leading a group of ML Scientists along with building and deploying ML solutions that scale to large datasets.
• Extensive experience in the Search domain, with a strong focus on solving problems related to Ranking, Query Understanding and Expansion, Relevance Feedback and Click-Through Rate Optimization and Autocomplete through the application of ML techniques.
• Familiarity with search engineering ecosystems such as ElasticSearch, microservices, and measurement infrastructure.
• Prior experience working in the eCommerce sector is a plus.

• Technical Skills

  :
• Strong foundational knowledge in Probability Theory, Statistics, and Machine Learning.
• Expertise in text classifiers, vector search, and ANN (Approximate Nearest Neighbor) algorithms, fine-tuning transformer-based models, ranking algorithms (e.g., gradient boosting, LambdaMART), and retrieval and ranking models for autocomplete/suggestions.
• Expertise in NLP - extracting context, themes with some exposure to Language models. Exposure to Chatbots - Workflow , intent identification
• Strong understanding of A/B testing methodologies, with experience designing, implementing, and analyzing experiments to evaluate search algorithm performance.
• Familiarity with best practices throughout all stages of the Data Science lifecycle, including data preprocessing, feature engineering, model training and tuning, evaluation, deployment and telemetry.

• Soft Skills

  :
• Strong ability to navigate ambiguity, independently drive, design, and implement large-scale ML solutions.
• Demonstrated experience in taking ownership and delivering data-driven projects.
• Capable of managing multiple priorities in a dynamic, fast-paced environment.
• Strong technical aptitude to address complex issues and effectively communicate with both technical and non-technical stakeholders.

Responsibilities:

• Search Optimization

  : Analyze user behavior data to develop high-quality machine learning algorithms that enhance search relevance and ranking.

• Leadership and Mentorship

  : Lead and mentor other machine learning scientists, fostering an environment of learning, growth, and success within the team.

• Technical Oversight

  : Provide oversight and accountability for technical decisions, ensuring high standards are met in model development and deployment.

• Inclusive Environment

  : Cultivate an inclusive environment that attracts and retains high-performing machine learning scientists.

• Cross-Functional Collaboration

  : Collaborate with ML Scientists, Engineering Managers, Product Managers, QA, and DevOps Engineers in an agile development environment to drive projects forward.

• Continuous Learning

  : Stay updated on advancements in the field of Machine Learning and apply these learnings to improve search algorithms.

• Customer Focus

  : Demonstrate a deep understanding of customer needs and leverage technology to enhance the search experience on Nykaa’s platform.