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# Senior Data Scientist

- **Company:** LinkedIn Corporation
- **Location:** San Francisco, CA, United States (Remote available)
- **Experience:** Expert
- **Salary:** $125,000.0 - $205,000.0
- **Contract:** Permanent contract
- **Skills:** A/B Testing, Artificial Intelligence, Data Systems, Data Visualization, Python (Programming Language), SQL Databases, Large Language Models, Information Technology, Data Analytics, Data Pipelines, Programming Languages
- **Published:** August 24, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/pelfil0zzg

## About the Role

* Bachelor's Degree in a quantitative discipline: Computer Science, Statistics, Operations Research, Informatics, Engineering, Applied Mathematics, Economics, etc.
 * 3+ years of relevant industry or relevant academia experience working with large amounts of data
 * Experience influencing strategy through data-centric presentations.
 * Experience in SQL.
 * Background in at least one programming language (e.g., R, Python, Scala).
 * Experience in applied statistics and statistical modeling in at least one statistical software package.
 * Experience telling stories with data and visualization tools.
 * Experience running platform experiments and techniques like A/B testing., * Master's Degree or Doctorate in Applied Mathematics, Computer Science, Data Science, Economics, Engineering, Informatics, Statistics, or related field.
 * Experience with SQL & Python, experimentation (design, analysis, variance reduction),
 * Experience with causal inference methods;
 * Product intuition for two-sided marketplaces
 * Clear written communication
 * Ability to understand how to measure AI-powered product experiences.

Suggested Skills

 * Communication
 * Decision Making
 * Data Science
 * Domain Knowledge and Skills
 * Strategic Thinking

## Description

We're hiring a Senior data scientist to own ambiguous, high-impact problems end-to-end. You'll use your strong statistical intuition and well-honed data science tool kit to answer open-ended problems like defining long-term retention or marketplace value. You'll define the metrics that guide product strategy, dive deep into marketplaces and evaluate AI-native features as they ship. You'll work closely with engineers and PMs to translate findings into roadmap decisions., * Designs and 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.

 * Evaluates A/B and causal tooling for discernable gaps and potentially partners with Applied Sciences teams to create A/B and causal test protocols and methods and analyze ramp performance to help optimize new and/or existing features or models.
 * Leverage AI tools in day-to-day workflows to increase productivity
 * Partners with internal customers to translate business problems into data-verifiable hypotheses.
 * Develops and employs models and causal analyses (e.g., panel analysis, A/B testing) to determine what drives metric relationships and create actionable insights within moderately complex product domains.
 * Independently diagnoses issues and identifies opportunities to drive improvements within AI/LLM systems.
 * Prototypes data solutions, and/or collaborates with relevant partners (e.g., Data Science teams, Engineering) to operationalize, build, and validate scalable tools/applications/solutions for use by internal customers to convert data into insights.
 * Embeds data science best practices and principles through all phases of development of customized and/or scalable data solutions, providing feedback to junior team members.
 * Communicates with relevant partners and internal customers on scoping data-driven investigations and experiments, contributing to recommendations for what best to prioritize to achieve intended strategy.
 * Develops and runs predictive models for estimating the impact of initiatives on identified KPIs.
 * Independently creates compelling, data-centric stories based on analytical findings to contribute to internal customers' decision-making., LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful.

If you need a Reasonable Accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us and describe the specific Accommodation requested for a disability-related limitation.

Fill out an Accommodation request here: https://app.smartsheet.com/b/form/b660a0327d044969abfd7a4e73d15c36

Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to:

 * Documents in alternate formats or read aloud to you
 * Having interviews in an accessible location
 * Being accompanied by a service dog
 * Having a sign language interpreter present for the interview

A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response.

LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information.

San Francisco Fair Chance Ordinance

Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records.

Pay Transparency Policy Statement

As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency.


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