Data Scientist: AI Experiments & Insights

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

Job summary

LinkedIn's Data Science team turns member and customer behavior into product decisions across one of the world's largest professional networks. We design experiments, investigate metric movements, and partner with PM and Engineering to ship features that create real economic opportunity for members, including the next generation of AI-powered experiences.

We're hiring an early-career data scientist to join a product team and grow under the mentorship of more senior Data Science ICs.

Qualifications

• Bachelor's Degree in Applied Mathematics, Computer Science, Data Science, Economics, Engineering, Informatics, Statistics, or related field.
• 1+ year of experience in data science (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience.
• Background in at least one programming language (eg. R, Python, Java, Ruby, Scala/Spark or Perl)

Responsibilities

• Performs data-driven experiments and causal analyses to test and validate new product ideas or go-to-market strategies, develop ecosystem understanding, and monitor current products or systems.
• Performs analyses to support the definition of metrics that leads to data-driven target setting and decision-making.
• Leverage AI tools in day-to-day workflows to increase productivity
• Develops and employs models and causal analyses (e.g., panel analysis, A/B testing) to help determine what drives metric relationships and create actionable insights within basic product domains.
• Collaborates with relevant partners on defining metrics and frameworks for evaluating AI/LLM systems and agentic product performance.
• Supports AI system roadmaps through assessing model performance.
• Prototypes data solutions, and/or collaborates with relevant partners to operationalize, build, and validate scalable tools/applications/solutions for use by internal customers to convert data into insights at scale, with guidance.
• Embeds data science best practices and principles through all phases of development of customized and/or scalable data solutions.
• Provides consultation to partners on basic data questions to enable data democratization.
• Understands and identifies patterns of user behavior leveraging data mining techniques and provides insights and data-informed recommendations to internal partners.
• Creates compelling, data-centric stories based on analytical findings to support internal customers' decision-making.

Skills

Data Science

Data Storytelling

Statistics

Programming (R/Python)

Education

Bachelor's degree in related field

Tools

R

Python

Java

Ruby

Scala/Spark

Perl

Job description

LinkedIn's Data Science team turns member and customer behavior into product decisions across one of the world's largest professional networks. We design experiments, investigate metric movements, and partner with PM and Engineering to ship features that create real economic opportunity for members, including the next generation of AI-powered experiences.

We're hiring an early-career data scientist to join a product team and grow under the mentorship of more senior Data Science ICs.