Senior Applied Scientist — ML for Product & Growth

California (MO)

Hybrid

USD 144,000 - 236,000

Full time

14 days+

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Job summary

LinkedIn is seeking a data science professional based in Mountain View, CA, with a strong background in ML, statistics, and programming. You will work on experimentation, causal inference, and large-scale ML to solve product problems and drive measurable impact.

The role requires rigorous scientific approaches, collaboration with Engineering, Product, and AI teams, and comfort turning ideas into scalable tools and systems. This is a hybrid role centered in a data-driven, fast-paced environment.

Qualifications

3+ years of industry or relevant academia experience.
Background in at least one programming language (R, Python, Java, Ruby, Scala/Spark or Perl).
Experience in applied statistics and statistical modeling in at least one software package.

Responsibilities

Guide identification of product and data solution opportunities through analyses.
Leverage AI tools in day-to-day workflows to boost productivity.
Conduct analyses, experiments, and modeling to evaluate product performance.
Research prior work to inform analytical approaches.
Review methodologies, tools, and outputs to improve rigor.
Build and refine ML models or statistical approaches.
Implement data science solutions improving data interpretation and decision-making.
Ensure accuracy, fairness, robustness, and reproducibility in analyses.
Collaborate with Engineering, AI, Product, and other partners to translate goals into tasks.
Communicate findings and recommendations clearly to stakeholders.