Data Scientist AI Job ID 2025-9872
About The Position
Internet Brands and WebMD are looking for a Data Scientist to join our Los Angeles based headquarters, and work on exciting personalization initiatives! The position is 5 days a week in the office. The ideal candidate has a practical background in machine learning and deep learning, with recent hands-on experience in natural language understanding, large language models (LLMs), generative AI applications, retrieval-augmented generation (RAG), or agentic AI systems. You will be working on various efforts involving machine learning, product engineers and data scientists in building projects such as content recommendation, personalization, and business intelligence models to enhance our customer experience and business intelligence capabilities.
Requirements
- 2-4 years of data science experience with expertise in predictive analytics
- B.S., M.S. or PhD in Data Science, Computer Science, Software Engineering, Information Science, Mathematics, Statistics, Electrical Engineering, Physics or related fields or equivalent experience.
- Strong understanding of transformer-based architectures, embeddings, and tokenization techniques.
- Proficiency with LLM frameworks and APIs, such as LangChain, Hugging Face Transformers, OpenAI, Google Vertex AI (Gemini), or Anthropic Claude, coupled with expertise in evaluation and performance benchmarking
- Demonstrated ability to implement prompt engineering, fine-tuning, and evaluation for LLMs.
- Strong understanding of personalization and recommendation algorithms, including collaborative filtering (CF), content-based filtering, hybrid recommenders, sequence-based or session-based models, and graph-based models.
- Proficiency in using query languages such as SQL.
- Experience with common data science toolkits, such as R, Scikit-learn, NumPy, Tensorflow.
Responsibilities
- Processing, cleansing, and verifying the integrity of data used for analysis
- Doing ad-hoc analysis and presenting results in a clear manner.
- Experience with feature synthesis and selection techniques to build models
- Solid understanding of regression, classification algorithms framework
- Apply machine learning techniques at scale on massive data sets
- Working with large language models (LLMs) for applications such as content summarization, recommendation, and personalization.
- Apply RAG (Retrieval-Augmented Generation) pipelines for knowledge retrieval.
- Experiment agentic AI framework to enhance personalization and automation.
- Prior work with model evaluation benchmarks and large-scale LLM testing frameworks.
- Experience with prompt fine-tuning techniques, LLMs optimization techniques(pre-training, post-training etc)
- Collaborate with cross-functional agile teams of software engineers, domain experts, and others to build new product features for multiple business units.
- Collaborate with data scientists across a variety of businesses to prioritize and promote our machine learning efforts.
Benefits
- health insurance options such as medical, dental, and vision coverage
- flexible spending accounts (FSA) for medical and dependent care
- short-term and long-term disability insurance
- life and AD&D insurance
- 401(k) retirement savings plan with a company match
- paid time off (PTO)
- paid holidays
- commuter benefits
- access to our Employee Assistance Program (EAP) and well-being coaching services
- voluntary benefits such as home, auto and pet insurance, and discounted legal and financial services
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
1,001-5,000 employees
