below marketmost similar roles pay hereabove market
This role pays more than
68%
of similar roles. Most pay
$144,500–$201,437
— the blue band above.
At the midpoint, this role pays about
$191k
versus about
$173k
for comparable roles.
Based on 240 similar postings.
Employer
About Nvidia
Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing
Nvidia currently has
1763 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 1151 roles with salary data.
As a Senior Data Scientist – Finance, you will join the Finance Data Science and AI team to lead the integration of innovative AI solutions into financial processes. Working alongside data scientists, data engineers, and AI developers, you will develop and deploy models using traditional machine learning, Bayesian statistics, simulation, and optimization. Your daily work involves building custom agents, multi-agent systems, and experimenting with Generative AI for use cases like automated auditing and predictive forecasting. You will utilize Python, SQL, and Databricks while leveraging AI-native development tools like Cursor and Claude Code. The role requires translating complex technical solutions into business terms to solve legacy bottlenecks and improve decision-making within the finance domain, ensuring that all stakeholders understand the risks and return on investment.
What does a Data Scientist earn in California?
Median $214000 from 115 postings across 28 companies.
Support critical finance data science initiatives using machine learning, Bayesian statistics, simulation, and optimization.
Integrate AI tools and Agents into data science workflows to determine organizational value.
Translate technical solutions into business terms and convert business requests into technical specifications.
Communicate the value, risks, and return on investment of data science projects to nontechnical stakeholders.
Experiment with Generative AI technologies to identify use cases like automated auditing and predictive forecasting.
Design, validate, deploy, and maintain data science models using Python, SQL, and Databricks.
Manage data science projects by coordinating resources and collaborating with multiple internal stakeholders.
What we're looking for
5+ years of professional experience in business-centered AI and Data Science, including implementing models in production environments.
Hands-on experience developing custom agents, multi-agent systems, and proficiency with AI-native development tools and agent orchestration frameworks.
BS/MS/PhD or equivalent experience in Computer Science, Data Science, Electrical/Computer Engineering, Physics, Mathematics, or other Engineering fields.
Technical Master’s or Ph.D. with a finance or business background (preferred).
Proven history of designing, validating, deploying, and maintaining data science models using Python, SQL, and Databricks.
Experience in Data Science project management, including collaborating with multiple stakeholders and coordinating organizational resources.
Excellent communication skills to document and present complex technical findings to both technical and business collaborators.
Experience in operations finance or the semiconductor/tech industry (preferred).
Python
R
Spark
SQL
AWS
Business Intelligence
Data Visualization
Data Governance
Data Quality Management
Agile
Lean
Six Sigma
Informatica DQ
Metadata
data, lineage