Senior Data Scientist
- Location
- Santa Clara
- Workplace
- On-site
- Employment
- Full-time
- Compensation
- $153k – $255k
About this role
Basic Information
Description and Requirements
- 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.
- 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.
- 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.
Our commitment to you!
BMC’s culture is built around its people. We have 6000+ brilliant minds working together across the globe. You won’t be known just by your employee number, but for your true authentic self. BMC lets you be YOU!
If after reading the above, You’re unsure if you meet the qualifications of this role but are deeply excited about BMC and this team, we still encourage you to apply! We want to attract talents from diverse backgrounds and experience to ensure we face the world together with the best ideas!
BMC is committed to equal opportunity employment regardless of race, age, sex, creed, color, religion, citizenship status, sexual orientation, gender, gender expression, gender identity, national origin, disability, marital status, pregnancy, disabled veteran or status as a protected veteran. If you need a reasonable accommodation for any part of the application and hiring process, visit the accommodation request page.
The annual base salary range represents the low and high end of the BMC salary range for this position. Actual salaries depend on a wide range of factors that are considered in making compensation decisions, including but not limited to skill sets; experience and training, licensure, and certifications; and other business and organizational needs.
The range listed is just one component of BMC's employee compensation package. Other rewards may include a variable plan and country specific benefits.
At BMC, it is not typical for an individual to be hired at /near the top of the range. A reasonable estimate of the current range is $152,925 - $254,875
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