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. The role will involve leading end-to-end data science initiatives, developing Generative AI solutions, mentoring data scientists and engineers, and partnering with business leaders to identify high-impact AI opportunities.

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.

Data Scientist SDM