Senior Staff Data Scientist - Generative AI/LLM

Role Overview:

We are seeking a highly skilled and experienced Senior Staff Data Scientist to join our growing team. The ideal candidate will be a data-driven problem solver with strong expertise in advanced statistical modeling, machine learning, Generative AI, and Large Language Models (LLMs). As a senior leader, the candidate will bridge the gap between advanced algorithmic research and scalable business applications, transforming data into predictive and prescriptive intelligence.

Key Responsibilities:

Model Development & Engineering:

- Design, build, optimize, and deploy complex machine learning models, predictive algorithms, and statistical frameworks.

- Lead the end-to-end data science lifecycle, including exploratory data analysis, feature engineering, model development, deployment, and monitoring.

- Identify and resolve algorithmic bias, model performance issues, and production bottlenecks.

- Ensure models are accurate, robust, scalable, and production-ready.

Generative AI & LLM Implementation:

- Lead the development and implementation of Generative AI solutions for complex business problems.

- Work with Large Language Models (LLMs), including output optimization and fine-tuning where applicable.

- Architect and implement RAG (Retrieval-Augmented Generation) systems.

- Explore and integrate advanced NLP techniques to automate data extraction and improve decision-making.

- Develop scalable AI workflows using Agentic AI frameworks, such as LangGraph.

Strategic Insights & Communication:

- Translate complex statistical findings and model outputs into clear, actionable business recommendations.

- Collaborate with business leaders to identify high-impact AI and Data Science opportunities.

- Define KPIs and success metrics for AI/ML models and solutions.

- Prepare and deliver presentations to senior leadership and cross-functional stakeholders.

- Act as a subject matter expert in Data Science, Machine Learning, Generative AI, and AI ethics.

Mentorship & Leadership:

- Mentor and guide junior and senior Data Scientists and Engineers.

- Share best practices in coding, experimentation, modeling, and professional development.

- Contribute to the continuous improvement of data science workflows, MLOps processes, internal libraries, and tooling.

- Stay current with industry trends, academic research, and advancements in AI and data science.

- Guide the team in designing and implementing scalable AI solutions.

Qualifications:

- Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, Physics, or a related quantitative discipline.

- 10+ years of progressive experience in Data Science, with significant experience in a senior or staff-level role.

- Proven track record of developing and deploying Generative AI or LLM-integrated production systems.

- Strong proficiency in Python and machine learning libraries such as PyTorch, TensorFlow, and Scikit-learn.

- Hands-on experience with Agentic AI frameworks, such as LangGraph.

- Strong expertise in statistical modeling, time-series modeling, A/B testing, experimental design, and causal inference.

- Experience working with large datasets, distributed computing technologies such as Spark, and data warehousing concepts.

- Excellent analytical, problem-solving, and critical-thinking skills.

- Strong communication and presentation skills, with the ability to explain complex technical concepts to non-technical audiences.

- Proven ability to lead, guide, and mentor teams in the design and implementation of scalable AI solutions.

Preferred Qualifications:

- Prior experience working within Google and PLX environments.

- Experience with GCP, Vertex AI, and MLOps frameworks.

- Knowledge of data governance, AI safety, and data security best practices.