ML Scientist II

2 months ago

Bengaluru, India Nykaa Full time

About the Team: Join the dynamic Nykaa Data Science team as a Machine Learning Scientist II. In this role, you will contribute to analyzing data and developing machine learning models that enhance the relevance and ranking of our search platforms. You will work closely with cross-functional teams to gather performance metrics, evaluate search outcomes, and optimize the user experience on Nykaa's platform. This position offers the opportunity to collaborate in a fast-paced environment and make a significant impact on our search functionalities.

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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