What are the responsibilities and job description for the AD/ Director- Data Science Consulting (Agentic AI- Pharma) position at Tiger Analytics?
Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning and AI. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.
We are seeking a seasoned leader to drive Data Science consulting engagements in the pharma and life sciences domain, with a strong focus on Agentic AI, Generative AI, and advanced analytics solutions. The role involves leading client discussions, designing AI-driven solutions, and guiding cross-functional teams in delivering end-to-end data science projects.
Responsibilities:
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.
We are seeking a seasoned leader to drive Data Science consulting engagements in the pharma and life sciences domain, with a strong focus on Agentic AI, Generative AI, and advanced analytics solutions. The role involves leading client discussions, designing AI-driven solutions, and guiding cross-functional teams in delivering end-to-end data science projects.
Responsibilities:
- Lead data science consulting engagements for pharma clients, ensuring business impact and value realization.
- Architect and implement Agentic AI, GenAI, and advanced ML solutions tailored for pharma and healthcare use cases.
- Build and scale RAG pipelines, conversational AI, and multi-agent systems to solve complex client challenges.
- Partner with senior stakeholders to define data strategy, AI roadmaps, and transformation programs.
- Stay updated on emerging AI technologies, regulations, and best practices in pharma.
- 10 years of experience in Data Science/AI consulting
- Proven expertise in Agentic AI, GenAI, LLMs, and advanced machine learning.
- Strong knowledge of pharma and life sciences domain
- Proficiency in Python, SQL, cloud platforms (Azure/GCP/AWS), and modern AI/ML frameworks.
- Experience in building end-to-end AI solutions (data engineering, model development, deployment).
- Strong consulting, client management, and stakeholder engagement skills.
- Advanced degree (Master's/PhD) in Computer Science, Data Science, AI, or related field preferred.
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.