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.
Team blurb:
The GTM Data Science team operationalizes data and insights for LinkedIn鈥檚 go鈥憈o鈥憁arket impact across Marketing, Sales, Pricing and Finance. We partner closely on multiple revenue generating initiatives. We also measure platform growth through rigorous metrics, experimentation, and enabling advanced data solutions. We organize and harmonize data at scale by building highly reliable, semantically rich data pipelines enabling data-driven decision making across the organization.
Responsibilities:
- Partner with product managers and go-to-market (GTM) teams to set up experimentation, support A/B testing, and experimentation readouts.
- Build data expertise, act as an owner for the company, and manage complex data systems for a product or group of products.
- Perform all necessary data transformations to serve products that empower data-driven decision making.
- Build and manage data pipelines, design and architect databases.
- Design, implement, integrate, and document performant systems or components for data flows or applications that power analysis at a massive scale.
- Ensure best practices and standards in the data ecosystem are shared across teams.
- Understand analytical objectives to make logical recommendations and drive informed actions.
- Be a self-starter; initiate and drive projects to completion with minimal guidance.
- Contribute to engineering innovations that fuel LinkedIn鈥檚 vision and mission.