Senior Data Scientist- Gen AI
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Senior Data Scientist- Gen AI at Tiger Analytics Inc.: Dallas, Vereinigte Staaten; Hybrid; Vollzeit; Senior; IT. JobGrid adds normalized role facts, source context, and a path to the employer application page so candidates can compare the listing before applying.
- Location and workplace: Dallas, Vereinigte Staaten, Hybrid
- Role classification: IT, Data Science & ML, Vollzeit, Senior
- Source freshness: checked by JobGrid on 2026-06-12.
- Application path: candidates continue to the employer application page with non-personal referral tags.
Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.
We are seeking an experienced Senior Data Scientist with 6-10 years of expertise to join our team. You will leverage advanced data science techniques, generative AI concepts, and NLP expertise to solve complex business problems and drive measurable impact aligned with our leadership's vision.
Key Responsibilities
- Design and implement data science solutions to address business challenges using advanced problem-solving methodologies and statistical techniques.
- Develop, train, and deploy machine learning models with a focus on generative AI and large language models (LLMs)
- Work with text and transcription data to build NLP-based solutions that enhance product capabilities and user experience.
- Partner with cross-functional teams including engineering, product, and business stakeholders to identify process and workflow gaps, analyze root causes using data science techniques, and architect scalable solutions that drive operational efficiency and business value.
- Stay at the forefront of AI/NLP advancements and evaluate new algorithms for potential business applications
- Create comprehensive documentation and present findings to stakeholders, ensuring alignment with organizational objectives