Job Specifications
Company Description
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.
Job Description
LinkedIn's Data Science team leverages big data to empower business decisions and deliver data-driven insights, metrics, and tools in order to drive member engagement, business growth, and monetization efforts. With over 1 billion members around the world, a focus on great user experience, and a mix of B2B and B2C programs, LinkedIn offers countless ways for an ambitious data engineer to have an impact and transform your career.
We are now looking for a talented and driven individual to accelerate our efforts and be a major part of our data-centric culture. This person will work closely with various cross-functional teams such as product, marketing, sales, engineering, policy and operations to develop and deliver metrics, analyses, solutions, and insights, with actionable recommendations to business partners. Successful candidates will exhibit technical acumen, product sense and business savvy, with a passion for making an impact through creative storytelling and timely actions.
Location
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 Description
The Premium Data Science team plays a pivotal role in driving LinkedIn Premium subscription businesses, delivering value to consumers across Career, Business, Company Page, Sales, and Recruiter ecosystems.
We leverage cutting-edge machine learning / AI and data-driven insights to inform business strategies, optimize monetization efforts and product performance, and support innovative initiatives that help 10 million Premium members achieve their goals and drive Premium growth. Working closely with product management, engineering, marketing, finance and other cross-functional partners, our contributions drive huge business impact in a high-tempo, high-growth environment.
In this Sr Staff DS role, you will act as a thought tech leader to identify business opportunities, drive Premium acquisition and retention, optimize product performance, and coach junior ICs. You will solve complex problems and champion innovative approaches. You will conduct deep dive analysis, design business metrics, craft compelling data stories and actionable recommendations, and collaborate with cross-functional teams to influence business roadmaps and decision-making.
Responsibilities
Build and optimize data solutions / AI models for user acquisition, engagement, and retention to drive Premium subscription growth.
Personalize the upsell targeting and new subscribers’ onboarding experiences, delivering tailored content and experiences to Premium members.
Conduct advanced analytics to identify business opportunities and growth levers, uncover member needs and customize member experiences.
Provide actionable insights to influence Premium business roadmaps and guide strategic decision-making for product offering & development, pricing, and go-to-market.
Act as a thought tech leader within the DS team and for cross-functional partners, driving strategic decisions and fostering collaboration across technical and non-technical disciplines.
Collaborate with cross-functional teams to ensure data-driven strategies and deliver end-to-end solutions.
Mentor and guide junior data scientists to foster talent growth and skill development.
Qualifications
Basic Qualifications
Bachelor or higher degree in a quantitative discipline
7+ years of relevant work experience
Experience influencing cross-function teams and business strategy through data-driven insights and stories. Can push back when needed
Proficient in SQL and at least one programming language (e.g., Python, R, Scala).
Deep understanding and experience of statistical analysis, experimentation (A/B testing) and measurement, and advanced analytics techniques.
Remarkable problem-solving skills, with the ability to approach business challenges analytically and creatively
Excellent communication skills, with the ability to synthesize, simplify and explain complex problems to different types of audience, including executives and compile compelling narratives.
Preferred Qualifications
ML / AI experiences
Experience in leveraging GenAI
Strong coding skills
Prior experience in subscri
About the Company
Founded in 2003, LinkedIn connects the world's professionals to make them more productive and successful. With more than 1 billion members worldwide, including executives from every Fortune 500 company, LinkedIn is the world's largest professional network. The company has a diversified business model with revenue coming from Talent Solutions, Marketing Solutions, Sales Solutions and Premium Subscriptions products. Headquartered in Silicon Valley, LinkedIn has offices across the globe..
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