Data Scientist, AI & Experiments (Hybrid)

LinkedIn; Mountain View (CA); Hybrid; USD 101,000 - 167,000; Full time

Job summary

LinkedIn is hiring an early-career data scientist to join a product team focused on turning member and customer behavior into actionable product decisions. You will write SQL and Python, analyze A/B tests, build dashboards, and learn experimentation at LinkedIn’s scale.

You’ll advance from evaluating simple experiments to tackling ambiguous problems, shaping metrics, and partnering with cross-functional teams to drive impact in a hybrid work environment.

Qualifications

• Bachelor's degree required in a quantitative field
• 1+ year of data science experience or equivalent
• Background in at least one programming language (e.g. Python, R, Java, Ruby, Scala/Spark or Perl)
• Master's or PhD preferred in related field
• Experience with experimentation platforms, causal inference, product domain knowledge or evaluating AI/LLM-powered features
• Strong written communication and analytical thinking abilities

Responsibilities

• Performs data-driven experiments and causal analyses to test and validate new product ideas or go-to-market strategies
• Develops metrics definitions to drive data-informed decision-making
• Uses AI tools to increase day-to-day productivity
• Builds and evaluates models and causal analyses to uncover drivers of metric relationships
• Collaborates with Data Science, AI, and Engineering teams to operationalize scalable tools
• Contributes to AI system roadmaps and performance assessments

Skills

Data Science

Data Storytelling

Statistics

Strategic Thinking

Education

Bachelor's Degree in Applied Mathematics, Computer Science, Data Science, Economics, Engineering, Informatics, Statistics, or related field

Master's Degree or Doctorate in Applied Mathematics, Computer Science, Data Science, Economics, Engineering, Informatics, Statistics, or related field

Tools

Python

R

Java

Scala/Spark

Perl

Job description

LinkedIn is hiring an early-career data scientist to join a product team focused on turning member and customer behavior into actionable product decisions. You will write SQL and Python, analyze A/B tests, build dashboards, and learn experimentation at LinkedIn’s scale.

You’ll advance from evaluating simple experiments to tackling ambiguous problems, shaping metrics, and partnering with cross-functional teams to drive impact in a hybrid work environment.