Staff Data Scientist, Customer Success @ Mountain View CA. /USC

Overview

On Site
Depends on Experience
Full Time

Skills

Analytics
Communication
Collaboration
Continuous Improvement
Customer Experience
Data Science
Data Visualization
Databricks
Machine Learning (ML)
Management
Mentorship
Python
SQL
Snow Flake Schema
Tableau
Use Cases

Job Details

Qualifications

  • 8+ years in data science, analytics, or a related field, ideally supporting consumer services, marketplaces, or expert-led models.
  • Advanced proficiency in SQL and data visualization (e.g., Tableau), and programming in Python or R
  • Experience building scalable data pipelines, metrics layers, and experiment platforms; familiarity with dbt, Airflow, Snowflake, or Databricks is a plus.
  • Deep understanding of customer journey analytics, CX measurement, and operational performance analytics.
  • Hands-on experience designing and evaluating A/B and multivariate experiments.
  • Understanding of machine learning and generative Al use cases in consumer applications is a plus.
  • Excellent storytelling and communication skills to influence decisions across technical and nontechnical audiences.
  • Proven track record of cross-functional collaboration, managing multiple projects in fast-paced environments.
  • Passion for data craft, mentorship, and continuous improvement with a growth-oriented mindset.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.