ML Scientist II
6 days ago
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:
- 3+ years of industry experience in Data Science and building Machine Learning models. - Demonstrated experience in building and deploying machine learning models that handle large datasets. - Experience in Search Data Science, Natural Language Processing (NLP) tasks, or Vector Search is a plus.
Technical Skills:
- Strong foundational knowledge in Probability Theory, Statistics, and Machine Learning. - Proficiency with machine learning languages and frameworks such as Python, Numpy, Pandas, Scikit-Learn, PySpark, TensorFlow/PyTorch, XGBoost/LightGBM. - Understanding of A/B testing methodologies and experience in 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, model training, evaluation, deployment and monitoring.
Soft Skills:
- Demonstrated ownership and ability to deliver results on data-driven projects. - Capability to manage multiple priorities in a fast-paced environment. - Technical aptitude to quickly gr/asp complex technical issues and communicate effectively with both technical and non-technical teams.
Responsibilities:
- Search Optimization: Analyze user behavior insights in search and develop high-quality machine learning algorithms to improve search relevance and ranking. - Model Development: Lead and mentor other machine learning scientists to promote learning, growth, and success within the team. - Continuous Learning: Stay updated on advancements in the field of Machine Learning and apply these learnings to improve search algorithms. - Customer Focus: Understand customer needs and leverage technology to enhance the search experience on Nykaa’s platform. - Documentation and Reporting: Document models, experiments, and processes. Present findings and insights to stakeholders to inform decision-making.
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