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.