Senior Staff Data Scientist

Company Description

LinkedIn is the worlds 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. Were also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture thats built on trust, care, inclusion, and fun where everyone can succeed.

Job Description

Join the LSS-Data Science team and help create meaningful impact by connecting sellers and buyers to mutual growth opportunities! LinkedIn Sales Solutions (LSS) is one of the fastest-growing multi-billion dollar verticals at LinkedIn, and the LSS-Data Science team is at the forefront of building the next generation of AI-centric Sales Navigator platform. This platform enables tens of millions of companies to connect with their future customers, driving significant economic value.

You will have the opportunity to work with and lead highly experienced and passionate data scientists, as well as our brilliant cross-functional partner teams in Engineering, Product Management, and Design. Together, we are creating immense economic value for our customers using the largest global professional economic graph.

At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team.

Responsibilities:

• We inform product strategy, influence the product roadmap, and guide product decisions by
• Accessing and analyzing the world's richest professional data to generate insights and make proactive recommendations.
• Formulating success metrics for completely novel products and creating dashboards/reports to monitor them.
• Designing and analyzing experiments to test new product ideas.
• Developing models and data-driven solutions that add material lift to principal performance metrics

Qualifications

Basic Qualifications:

• BS/MS in a quantitative discipline: Statistics, Applied Mathematics, Operations Research, Computer Science, Engineering, Economics, etc.
• 14+ years of experience working with large amounts of real data with SQL (Teradata, Oracle, or MySQL) and R, or other statistical package.
• 14+ years of experience in a Unix/Linux environment for automating processes with shell scripting.

Preferred Qualifications:

• Experience with Consumer Internet products.
• Experience programming in Python, Java, or another programming language - Pig experience desired but not required.
• Ability to translate business objectives into actionable analyses.
• Ability to communicate findings clearly to both technical and non-technical audiences
• Knowledge in one of the following areas is a strong plus: Viral Growth mechanisms, user acquisition in International markets, Search Engine Optimization (SEO)
• Expertise in applied statistics, understanding of controlled experiments.
• Cross-cultural background and experience

Suggested Skills:

• Sql
• Data visualization
• Hive

Additional Information

India Disability Policy

LinkedIn is an equal employment opportunity employer offering opportunities to all job seekers, including individuals with disabilities. For more information on our equal opportunity policy, please visit https://legal.linkedin.com/content/dam/legal/Policy_India_EqualOppPWD_9-12-2023.pdf

Global Data Privacy Notice for Job Candidates ​

Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://legal.linkedin.com/candidate-portal.