Senior Data Scientist - Hybrid in San Jose
Posted Updated
Description
We are looking for a Senior Data Scientist to help build our next-generation Agentic AI platform from 0–1. This is a hands-on role for an experienced Data Scientist who has applied machine learning and statistical techniques to complex real-world problems and can take ideas from experimentation through to measurable customer impact.
You will work alongside our VP of Engineering, VP of AI and product leadership to define how data science and machine learning are used across the platform. You will spend most of your time exploring complex datasets, developing and evaluating models, designing experiments, and translating ambiguous business problems into robust data science solutions. Success is measured by the quality of the decisions and product outcomes your work enables, not simply model complexity or novelty.
Here is how, through this exciting role, YOU will contribute to BMC's and your own success:
- Lead the design and development of machine learning and data science solutions for complex product and customer problems.
- Take data science initiatives from problem definition and experimentation through validation and production adoption.
- Build machine learning models where appropriate.
- Apply statistical analysis and experimentation to measure product impact.
- Explore large and complex datasets to identify signals that can improve product capabilities.
- Develop robust approaches to model validation and performance evaluation.
- Define meaningful metrics and evaluation frameworks for both traditional ML and GenAI-powered capabilities.
- Work with product and engineering teams to translate customer and business problems into data science solutions.
- Use Python and modern data science tooling to build reproducible modelling and experimentation workflows.
- Evaluate emerging techniques across machine learning, LLMs and GenAI and determine where they provide genuine product value.
- Communicate complex analytical findings clearly to engineering, product and senior leadership.
- Operate with a high degree of ownership, identifying opportunities and moving forward without waiting for perfectly defined requirements.
To ensure you’re set up for success, you will bring the following skillset & experience:
- 5+ years of professional experience in Data Science, Machine Learning or a closely related field, with experience operating at senior or principal level.
- Expert-level Python and strong experience with the modern Python data science ecosystem.
- Hands-on experience with common ML and data science frameworks such as scikit-learn, PyTorch, TensorFlow, XGBoost or equivalent.
- Strong understanding of model performance, bias, explainability, drift and the limitations of machine learning systems.
- Experience applying Data Science within GenAI, LLM or Agentic AI products.
- Hands-on experience building or integrating LLM-powered applications.
- Experience with LLM APIs and frameworks such as OpenAI, Anthropic, LangGraph, LangChain or LlamaIndex.
- Strong hands-on experience designing and implementing evaluation frameworks for LLM and Agentic AI systems, including measuring quality, reliability and performance.
- Experience partnering closely with software engineers, product managers and other technical stakeholders.
- Ability to explain complex modelling decisions and findings to both technical and non-technical audiences.
- Comfort operating in ambiguity and making pragmatic decisions with incomplete information.
Whilst these are nice to have, our team can help you develop in the following skills:
- Experience with fine-tuning techniques including LoRA, QLoRA or preference optimisation.
- Experience deploying ML or AI workloads through AWS SageMaker, Azure ML, Vertex AI, Kubernetes or equivalent.
- Understanding of production AI considerations including inference, observability, latency, cost, guardrails and scalability.