Senior Machine Learning Strategist
8 hours ago
About the Role
We are seeking a Senior Machine Learning Strategist to drive advancements in search relevance and ranking across our platforms. In this role, you will analyze user behavior data to develop high-quality machine learning algorithms that enhance search relevance and ranking.
Key Responsibilities
- Analyze user behavior data to develop high-quality machine learning algorithms that enhance search relevance and ranking.
- Lead and mentor other machine learning scientists, fostering an environment of learning, growth, and success within the team.
- Provide oversight and accountability for technical decisions, ensuring high standards are met in model development and deployment.
- Cultivate an inclusive environment that attracts and retains high-performing machine learning scientists.
- Collaborate with cross-functional teams to drive projects forward and stay updated on advancements in the field of Machine Learning.
- Demonstrate a deep understanding of customer needs and leverage technology to enhance the search experience on Nykaa's platform.
Requirements
- Bachelor's or Master's Degree in Data Science, Computer Science, Statistics, or a related field from a reputable institution.
- 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.
- 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.
Compensation Package
The estimated salary for this role is ₹30-50 lakhs per annum based on industry standards and market research considering the location and job responsibilities.
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