Senior Data Scientist – Finance

NVIDIA NVIDIA · Semiconductors · Santa Clara, CA

Senior Data Scientist role focused on integrating AI and Data Science solutions into financial processes, with an emphasis on developing custom agents and multi-agent systems, experimenting with Generative AI use cases, and translating technical solutions into business value. Requires production model implementation experience and strong communication skills.

What you'd actually do

  1. Combine business insight and the data science toolkit to support critical finance data science initiatives using traditional machine learning, Bayesian statistics, simulation, and optimization.
  2. Integrate AI tools and Agents into data science workflows, experimenting with new technology to determine where it can add organizational value.
  3. Translate technical solutions into business terms and business requests into technical solutions. Ensure both technical and nontechnical collaborators understand the value, risks, and return on investment of Data Science projects.
  4. Experiment with new technologies in the Generative AI space to identify high-value organizational use cases, from automated auditing to predictive forecasting.

Skills

Required

  • Python
  • SQL
  • Databricks
  • developing custom agents
  • multi-agent systems
  • AI-native development tools
  • agent orchestration frameworks
  • Data Science project management
  • collaboration
  • communication

Nice to have

  • Bayesian statistics
  • simulation
  • optimization
  • Generative AI
  • automated auditing
  • predictive forecasting
  • finance
  • business background
  • NVIDIA software libraries
  • GPUs
  • OpenACC
  • CUDA optimization

What the JD emphasized

  • demonstrated history of implementing models in production environments
  • Hands-on experience developing custom agents and multi-agent systems
  • proficiency with AI-native development tools
  • agent orchestration frameworks

Other signals

  • integrating innovative Data Science and AI solutions into financial processes
  • lead the integration of innovative Data Science and AI solutions
  • challenge the status quo, constantly innovate and break down complex problems
  • communicate technical solutions effectively across organizations
  • Combine business insight and the data science toolkit to support critical finance data science initiatives
  • Integrate AI tools and Agents into data science workflows
  • experimenting with new technology to determine where it can add organizational value
  • Translate technical solutions into business terms and business requests into technical solutions
  • Ensure both technical and nontechnical collaborators understand the value, risks, and return on investment of Data Science projects
  • Experiment with new technologies in the Generative AI space to identify high-value organizational use cases
  • automated auditing
  • predictive forecasting
  • demonstrated history of implementing models in production environments
  • Hands-on experience developing custom agents and multi-agent systems
  • proficiency with AI-native development tools
  • agent orchestration frameworks
  • Data Science project management experience
  • collaborating closely with multiple collaborators to drive projects
  • coordinating resources within the organization
  • creative solutions bringing to bear data science and agentic technologies to resolve legacy bottlenecks
  • improve decision making
  • add business value to an organization