Senior Data Scientist- Gen AI

Role: Senior Data Scientist- Gen AI
Location: Charlotte, NC (On-site)

Experince: 6-10

Client is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Consultants need to bring deep expertise in Data Science, Machine Learning and AI. Client is trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Client 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.

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

6-10 years of professional experience as a Data Scientist or in a closely related role
Demonstrated ability to approach complex business and technical challenges using data science methodologies and statistical techniques
Hands-on experience in writing production-grade code, data manipulation, and querying large databases Like Python and SQL
Proven experience working on NLP with text and transcription data, including preprocessing, feature engineering, and model development
Solid understanding of latest-generation AI concepts including LLMs, prompt engineering, retrieval-augmented generation (RAG), and other contemporary generative AI applications
Passionate about staying current with emerging trends, research papers, and advancements in NLP and AI
Ability to articulate complex technical concepts to both technical and non-technical audiences.
Ability to understand organizational vision and strategy, translating it into data-driven initiatives that create positive business impact