Senior Data Scientist: Strategy & Insights

LinkedIn; California (MO); On-site; USD 121,000 - 198,000; Full time

Benefits offered by this job

Health and wellness programs

Performance bonus

Stock options

Job summary

LinkedIn is seeking a data scientist to partner with cross-functional teams on large-scale strategic projects, shaping product strategy through data-driven presentations and deep-dive analyses. You will analyze large-scale data, develop ML models and design dashboards to extract insights that drive member value and customer success.

The role requires a quantitative degree and 3+ years of experience, with proficiency in SQL and at least one programming language (R/Python/Scala).

Qualifications

• Bachelor's degree in a quantitative discipline.
• 3+ years of data experience.
• Experience influencing strategy through data-centric presentations.
• Experience in SQL.
• Programming language experience (R, Python, Scala).
• Experience in applied statistics and statistical modeling.
• Experience telling stories with data and visualization tools.
• Experience running platform experiments and A/B testing.

Responsibilities

• Partner with cross-functional teams on large-scale strategic projects.
• Shape product and business strategy through data-centric presentations.
• Identify business opportunities and optimize product performance or go-to-market strategy.
• Analyze large-scale data and develop deep-dive analyses and ML models.
• Design core business metrics and dashboards to track insights.
• Design and analyze experiments and convert results into actions.
• Collaborate with technology partners to build scalable data tools end-to-end.
• Mentor junior team members.

Skills

SQL

Python

Statistical Analysis

Data Storytelling

Data Interpretation

Education

Bachelor's Degree in a quantitative discipline

Tools

Unix shell

Git

Review Board

Job description

LinkedIn is seeking a data scientist to partner with cross-functional teams on large-scale strategic projects, shaping product strategy through data-driven presentations and deep-dive analyses. You will analyze large-scale data, develop ML models and design dashboards to extract insights that drive member value and customer success.

The role requires a quantitative degree and 3+ years of experience, with proficiency in SQL and at least one programming language (R/Python/Scala).