Hybrid Senior Applied Scientist: Data-Driven Impact

LinkedIn; Mountain View (CA); Hybrid; USD 139,000 - 229,000; Full time

Job summary

LinkedIn is seeking a Data Scientist to accelerate data-driven decision making and deliver insights that drive member engagement and business growth. The role blends research with hands-on modeling, experimentation, and cross-functional collaboration in a hybrid work setting.

The candidate should have 3+ years of experience, a quantitative degree, and strong skills in R/Python and statistics. This role offers a hybrid schedule and opportunities to impact a global product ecosystem.

Qualifications

• Bachelor's degree in a quantitative discipline.
• 3+ years of industry or relevant academia experience.
• Experience with at least one programming language (R, Python, Java, Ruby, Scala/Spark or Perl).
• Experience in applied statistics and statistical modeling in at least one statistical software package (R, Python).
• MS/PhD in quantitative discipline: Statistics, Operations Research, CS, Informatics, Engineering, Applied Mathematics, Economics, etc.

Responsibilities

• Work with a team of analytics, data science professionals, and cross-functional teams to identify business opportunities and develop algorithms to address them.
• Analyze large-scale structured and unstructured data.
• Conduct data science research, model improvement, experiments, causal studies to drive business value.
• Develop methodologies to enhance product and platform capabilities.
• Engage with partners to build, prototype and validate scalable tools end-to-end.
• Promote adoption of data science advances and mentor junior team members.

Skills

Programming (R/Python/Scala)

Statistics Modeling

Experimentation

Education

Bachelor's degree

MS/PhD in quantitative discipline

Tools

R

Python

Spark

Job description

LinkedIn is seeking a Data Scientist to accelerate data-driven decision making and deliver insights that drive member engagement and business growth. The role blends research with hands-on modeling, experimentation, and cross-functional collaboration in a hybrid work setting.

The candidate should have 3+ years of experience, a quantitative degree, and strong skills in R/Python and statistics. This role offers a hybrid schedule and opportunities to impact a global product ecosystem.