Senior Data Scientist (MS/PhD Must)

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• Must have 10+ years of experience

VISA: USC / GC
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• Job Description:

Candidate will be working on these industry-defining problems and be able to push the frontiers of Search Science by advancing areas including information retrieval, search, recommendation systems, natural language processing, optimization, algorithms and customer-facing large systems and service designs.

Responsibilities:
• Partner with other data scientists, engineers and product managers to design, train, test and deploy machine learning models
• Work on projects with substantial ambiguity and translate business and engineering requirements to identify and define a clear roadmap to deliver the ML models
• Perform rigorous offline and A/B testing of your models and communicate your findings to technical and non-technical stakeholders, both verbally and through written communications
• Bring in bleeding-edge academic research and industry practices and demonstrate originality and creativity in developing novel solutions for Search
• You will help maintain models, improve them as needed to bring in cutting-edge research, within a highly scalable infrastructure
• You will mentor early-career data scientists, work as a tech lead and technology expert within the organization
• You are strongly encouraged to publish your research and novel findings in internal and external research and industry conferences and journals, and file patent applications

Required Skills:
• Must have a deep background in NLP, Search Science, Recommendation Systems, Machine Learning, Deep Learning, Optimization, Algorithm and Software development.
• It is strongly preferred that you have prior knowledge of Search or Recommendation Systems related technology and Generative AI.
• Sound knowledge of Python, SQL, PySpark, Machine Learning Libraries, Big Data processing systems in cloud environment is expected.
• A track record of building ML models or delivering impactful customer-facing products as tech lead and mentoring early-career data scientists.
• Experience of publications in peer-reviewed conferences and journals or patent filings.

Education:
• Have a MS/PhD in relevant technical degree (preferably Computer Science, Machine Learning, Operations Research, Applied Mathematics, Statistics, Engineering etc.).