Staff Data Scientist - Infrastructure

Databricks
Mountain View, San Francisco
Workplace: HybridFull timeFunction: Data Science & Machine LearningExperience: 7+ yearsEducation: mastersSkills: ["Communication","Mentorship","Problem-solving","Leadership","Collaboration"]

Senior data science professional focused on building data-driven tooling and production ML capabilities for an AI infrastructure platform. Collaborates with Data Platform, Product Engineering, and senior stakeholders to deliver high-impact insights, scalable tooling, and data-driven decisions. Mentors junior scientists, represents the data science discipline, and contributes to strategic initiatives and 0-to-1 solutions.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Databricks
Databricks
2 years ago

Staff Data Scientist - Infrastructure

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 2 hours agoStatus: Live

Job Summary

Senior data science professional focused on building data-driven tooling and production ML capabilities for an AI infrastructure platform. Collaborates with Data Platform, Product Engineering, and senior stakeholders to deliver high-impact insights, scalable tooling, and data-driven decisions. Mentors junior scientists, represents the data science discipline, and contributes to strategic initiatives and 0-to-1 solutions.
Location: Mountain View, San Francisco
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Provide data science tooling and ML capabilities to enable data-driven decision making across business leaders, analysts, and data scientists
  • •Collaborate with Data Platform and Product Engineering to integrate data science tooling with core product offerings
  • •Lead insight generation for top company priorities and key Engineering initiatives (reliability, efficiency)
  • •Define project OKRs, gather requirements, and communicate progress to technical and non-technical stakeholders
  • •Mentor junior data scientists on project planning, technical decisions, and code/document reviews

Key Requirements

  • •7+ years of data science, machine learning, or advanced analytics experience in high growth environments
  • •Extensive experience applying Data Science / ML in production to build data-driven products
  • •Experience collaborating with senior stakeholders across Engineering, Product, and Technical Operations
  • •Ability to navigate ambiguity in fast-paced settings and deliver 0-to-1 solutions
  • •Strong coding skills in Python and SQL
Experience:7+ yearsSaaSData analyticsAIProduction ML
Education:Master's in Statistics, Math, Computer Science
Skills:CommunicationMentorshipProblem-solvingLeadershipCollaboration
Languages:English
Tech Stack:PythonSQLSparkETLAirflowMLflowGit

Company Brief

Databricks
Provides a unified data analytics platform powered by Apache Spark to simplify building, deploying, and scaling data engineering, data science, and machine learning workloads for enterprises.
Industry: Data Infrastructure
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series E+
Headquarters: San Francisco, United States
Founded: 2013
WebsiteLinkedIn