The Value Maximizer
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Data Scientist
Key Responsibilities Build and optimize classification, regression, and forecasting models using classical ML and deep learning techniques Develop and deploy deep learning architectures including LSTMs, transformers, and other sequence-based models for time-series, NLP, and anomaly detection Design and implement NLP pipelines for text classification, semantic search, summarization, and question answering using transformer-based models (e.g., BERT, T5, GPT) Create RAG (retrieval-augmented generation) pipelines integrating LLMs with vector databases (e.g., FAISS, Pinecone, Weaviate) and document indexing frameworks Apply and fine-tune LLMs (e.g., OpenAI, Mistral, LLaMA, Cohere) for domain-specific tasks using supervised fine-tuning or LoRA/QLoRA methods Build and orchestrate multi-agent AI systems using frameworks like LangGraph, CrewAI, or OpenAgents to support tool-using, autonomous agents for decision-making workflows Collaborate with data engineers, product managers, and stakeholders to translate business needs into production-ready solutions Mentor and support junior data scientists through code reviews, model design feedback, and collaborative experimentation Promote best practices in reproducible modeling, responsible AI, and scalable deployment Required Skills & Experience
5+ years of experience in data science or applied machine learning, with a strong background in both classical and deep learning methods Hands-on experience with Python, and libraries/frameworks such as scikit-learn, pandas, PyTorch, TensorFlow, Hugging Face Transformers, and LangChain Strong understanding of classification metrics, feature engineering, model validation, and hyperparameter tuning Demonstrated experience with LLMs, including fine-tuning, prompt engineering, and retrieval-augmented generation techniques Seniority level
Mid-Senior level Employment type
Full-time Job function
Other Industries
IT Services and IT Consulting Referrals increase your chances of interviewing at The Value Maximizer by 2x Get notified about new Data Scientist jobs in
Austin, TX . Austin, TX $114,000.00-$171,000.00 1 week ago Austin, TX $100,000.00-$120,000.00 2 weeks ago Austin, TX $173,000.00-$242,000.00 2 weeks ago Austin, TX $140,000.00-$200,000.00 11 months ago Austin, TX $100,500.00-$173,250.00 3 weeks ago Sr. Staff Data Scientist, Machine Learning Austin, TX $210,000.00-$280,000.00 1 month ago Austin, TX $181,875.00-$200,645.00 2 months ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
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Key Responsibilities Build and optimize classification, regression, and forecasting models using classical ML and deep learning techniques Develop and deploy deep learning architectures including LSTMs, transformers, and other sequence-based models for time-series, NLP, and anomaly detection Design and implement NLP pipelines for text classification, semantic search, summarization, and question answering using transformer-based models (e.g., BERT, T5, GPT) Create RAG (retrieval-augmented generation) pipelines integrating LLMs with vector databases (e.g., FAISS, Pinecone, Weaviate) and document indexing frameworks Apply and fine-tune LLMs (e.g., OpenAI, Mistral, LLaMA, Cohere) for domain-specific tasks using supervised fine-tuning or LoRA/QLoRA methods Build and orchestrate multi-agent AI systems using frameworks like LangGraph, CrewAI, or OpenAgents to support tool-using, autonomous agents for decision-making workflows Collaborate with data engineers, product managers, and stakeholders to translate business needs into production-ready solutions Mentor and support junior data scientists through code reviews, model design feedback, and collaborative experimentation Promote best practices in reproducible modeling, responsible AI, and scalable deployment Required Skills & Experience
5+ years of experience in data science or applied machine learning, with a strong background in both classical and deep learning methods Hands-on experience with Python, and libraries/frameworks such as scikit-learn, pandas, PyTorch, TensorFlow, Hugging Face Transformers, and LangChain Strong understanding of classification metrics, feature engineering, model validation, and hyperparameter tuning Demonstrated experience with LLMs, including fine-tuning, prompt engineering, and retrieval-augmented generation techniques Seniority level
Mid-Senior level Employment type
Full-time Job function
Other Industries
IT Services and IT Consulting Referrals increase your chances of interviewing at The Value Maximizer by 2x Get notified about new Data Scientist jobs in
Austin, TX . Austin, TX $114,000.00-$171,000.00 1 week ago Austin, TX $100,000.00-$120,000.00 2 weeks ago Austin, TX $173,000.00-$242,000.00 2 weeks ago Austin, TX $140,000.00-$200,000.00 11 months ago Austin, TX $100,500.00-$173,250.00 3 weeks ago Sr. Staff Data Scientist, Machine Learning Austin, TX $210,000.00-$280,000.00 1 month ago Austin, TX $181,875.00-$200,645.00 2 months ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr