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About the Role

LinkedIn's Data Science team leverages big data to empower business decisions and deliver data-driven insights, metrics, and tools to drive member engagement, business growth, and monetization. This role will work closely with various cross-functional teams to develop and deliver metrics, analyses, solutions, and insights with actionable recommendations to business partners.

Responsibilities

• Partner with cross-functional teams to initiate, lead and drive to completion large-scale/complex strategic projects for teams, departments and the company.
• Act as a thought partner to senior leaders to prioritize/scope projects, provide recommendations, and evangelize data-driven business decisions in support of strategic goals.
• Provide technical guidance and mentorship to junior team members on solution design as well as lead code/design reviews.
• Drive org-wide impact by shaping product and business strategy through data-centric presentations.
• Work with a team of high-performing data science professionals, and cross-functional teams to identify business opportunities, optimize product performance or go to market strategy.
• Analyze large-scale structured and unstructured data; develop deep-dive analyses and machine learning models to drive member value and customer success.
• Design and develop core business metrics, create insightful automated dashboards and data visualization to track them and extract useful business and product insights.
• Design and analyze experiments to test new product ideas or go to market strategies. Convert the results into actionable recommendations. Independently craft compelling stories; make logical recommendations; drive informed actions.
• Engage with technology partners to build, prototype and validate scalable tools/applications end to end (backend, frontend, data) for converting data to insights.
• Mentor junior members of the team.

Requirements

• Bachelor or higher degree in a quantitative discipline: statistics, operations research, computer science, informatics, engineering, applied mathematics, economics, etc.
• 5+ years of relevant work experience.
• 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
• Experience with manipulating massive-scale structured and unstructured data.
• Proven record writing and optimizing code with high levels of craftsmanship, and coaching others to improve technical outputs.
• Working knowledge of Unix command-line/shell, git and review board.
• Experience leveraging government data or publicly available third-party APIs.
• Experience mentoring other data scientists in an official or unofficial capacity.
• Excellent communication skills, with the ability to synthesize, simplify and explain complex problems to different types of audience, including executives and compile compelling narratives.

Skills

• SQL
• Python
• Statistical Analysis
• Data Storytelling
• Data Interpretation

Location

• Sunnyvale, CA

Work Type

• Hybrid

Experience Level

• 5+ years of relevant work experience

Education Level

• Bachelor or higher degree in a quantitative discipline

Salary/Compensations

• $144,000 - $236,000

Benefits

• Generous health and wellness programs
• Time away for employees of all levels
• Annual performance bonus
• Stock
• Benefits and/or other applicable incentive compensation plans

About the Company

• LinkedIn is the world’s largest professional network, built to create economic opportunity for every member of the global workforce.
• Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day.
• We’re also committed to providing transformational opportunities for our own employees by investing in their growth.
• We aspire to create a culture that’s built on trust, care, inclusion, and fun – where everyone can succeed.
• Join us to transform the way the world works.

Equal Opportunity

• We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer.
• LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
• 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.
• Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records.
• As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency.