* Partner with stakeholders to translate business goals into data science problem statements, success metrics, and experiment plans.
* Build, evaluate, and deploy machine learning and AI models using Python, ensuring performance, robustness, and scalability.
* Develop NLP solutions such as text classification, entity extraction, topic modeling, semantic search, and summarization based on use case needs.
* Perform end-to-end data science workflows: data collection, cleaning, feature engineering, model training, validation, and monitoring.

* Experience building and optimizing NLP systems using modern approaches (e.g., embeddings, transformer-based models) and tailoring them to domain needs.
* Proven ability to design experiments, run A/B tests, and connect model improvements to measurable business outcomes.

*Primary skills: Technology->Data Science->Machine Learning, Technology->Machine learning->data science

Join a high-impact data science team where your ideas move quickly from exploration to real-world outcomes. In this role, you'll turn complex, messy data into clear insights and intelligent products-building machine learning and AI solutions that improve decisions, automate workflows, and elevate customer experiences. You'll collaborate closely with engineers, product partners, and business stakeholders to define problems worth solving, design experiments, and deliver models that are reliable in production. If you enjoy combining strong Python skills with modern ML, NLP, and practical AI thinking-and you care about explainability, measurable impact, and continuous learning-this is a great place to grow and lead through influence.