Senior Data Scientist

1 month ago

Sunnyvale, California, United States LinkedIn Full time
About LinkedIn

LinkedIn is the world's largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce.

Job Summary

We are seeking a talented and driven individual to accelerate our data-centric culture and drive business growth through data-driven insights. As a Senior Data Scientist, you will work with a team of high-performing analytics and data science professionals to identify business opportunities and develop algorithms and methodologies to address them.

Responsibilities
  • Work with cross-functional teams to identify business opportunities and develop algorithms and methodologies to address them.
  • Analyze large-scale structured and unstructured data to drive member value and customer success.
  • Conduct in-depth and rigorous data science research, model improvement, and advanced experiments to quantify the cause and effect in the ecosystem.
  • Develop methodologies to enhance LinkedIn's product and platform capabilities.
  • Engage with technology partners to build, prototype, and validate scalable tools and applications for converting data to insights.
  • Promote and enable adoption of technical advances in Data Science and elevate the art of Data Science practice at LinkedIn.
  • Improve LinkedIn's ability to measure and credibly speak to labor market trends and other economic phenomena.
  • Initiate and drive projects to completion independently and act as a thought partner to senior leaders to prioritize and scope projects.
Requirements
  • Bachelor's Degree in a quantitative discipline: Statistics, Operations Research, Computer Science, Informatics, Engineering, Applied Mathematics, Economics, etc.
  • 3+ years of industry or relevant academia experience.
  • Background in at least one programming language (e.g. R, Python, Java, Ruby, Scala/Spark or Perl).
  • Experience in applied statistics and statistical modeling in at least one statistical software package (e.g. R, Python).
Preferred Qualifications
  • BS and 5+ years of relevant work experience, MS and 3+ years of relevant work experience, or Ph.D. and 1+ years of relevant work/academia experience.
  • MS or PhD in a quantitative discipline: Statistics, Operations Research, Computer Science, Informatics, Engineering, Applied Mathematics, Economics, etc.
What We Offer

We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $134,000.00 to $221,000.00. 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.

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