Lead Data Scientist - GenAI

United StatesRemoteFull-timelead

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Requirements Summary

Solid understanding of latest-generation AI concepts including LLMs, prompt engineering, retrieval-augmented generation (RAG), and other contemporary generative AI applica

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Data ScientistData

Tiger Analytics is looking for experienced Data Scientists GenAI 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 a highly skilled and experienced Lead Data Scientist with strong expertise in GenAI modelling. The ideal candidate will have a proven track record of designing, developing, and deploying scalable GenAI solutions, while leading projects and mentoring teams. This role requires deep technical expertise, hands-on coding experience, and the ability to collaborate closely with clients and stakeholders to translate business needs into robust analytical solutions.

Responsibilities

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→6+ years of experience working as a GenAI Data Science.
→Proficiency in Python and SQL
→Experience with MLflow and model lifecycle management
→Experience with Python from a functional programming paradigm, able to manage dependencies and virtual environments, along with version control in git
→Generative AI Knowledge: Solid understanding of latest-generation AI concepts including LLMs, prompt engineering, retrieval-augmented generation (RAG), and other contemporary generative AI applications
→Experience with sequential algorithms (e.g., LSTM, RNN, transformer, etc.)
→Experience with Bedrock, JumpStart, HuggingFace
→Experience evaluating ethical implications of AI and controlling for them (e.g., red-teaming)
→Expertise in supervised learning and unsupervised learning along with experience in deep learning and transfer learning
→Experience in generative algorithms (e.g., GAN, VAE, etc.) as well as pre-trained models (e.g., LLaMa, SAM, etc.)
→Experience developing models from inception to deployment 5-10 years of professional work experience with at least 5 years in Data Science.
→Experience building end-to-end ML pipelines in production
→ Familiarity with CI/CD pipelines, monitoring, and model governance
→ Ability to design scalable and reliable AI systems
→Bachelor's in Business Analytics or equivalent work experience.

What We Offer

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Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.