Data Scientist

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 the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun — where everyone can succeed.

Job Description

At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team.

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. You'll be responsible for writing SQL and Python to investigate how members use the product, read and interpret A/B test results, build dashboards and analysis docs that inform real decisions, and learn the craft of experimentation on data at LinkedIn's scale. You’ll deep dive into the tracking and algorithms of our AI stacks and learn how to use agentic data science to understand these systems and create insights that drive impact. As you grow, you'll take on more ambiguous problems and shape the metrics our team uses.

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 (e.g., Data Science teams, AI, Engineering) 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.

Qualifications

Basic Qualifications:

Bachelor's Degree in 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)

Preferred Qualifications:

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

Experience with experimentation platforms, causal inference, product domain expertise or evaluating AI / LLM-powered features.

Written communication and structured thinking abilities

Curiosity about how products work and why members behave the way they do

Suggested Skills

Data Science

Data Storytelling

Statistics

Strategic Thinking

LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $101,000 to 167,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor.

The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit https://careers.linkedin.com/benefits.

Additional Information

Equal Opportunity Statement

We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

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• Documents in alternate formats or read aloud to you
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