Sr. Staff Data Scientist - LinkedIn Premium

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.

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.

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 subscription-based business models and growth analytics.
• Proven record writing and optimizing code with high levels of craftsmanship, and coaching others to improve technical outputs.
• Experience mentoring other data scientists in an official or unofficial capacity.

Suggested Skills

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

You will Benefit from our Culture

We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. LinkedIn is committed to fair and equitable compensation practices.

Compensation

The pay range for this role is $168,000 - $276,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit https://careers.linkedin.com/benefits.

Equal Opportunity Statement 

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.

If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at [email protected] and describe the specific accommodation requested for a disability-related limitation.

Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to:

• Documents in alternate formats or read aloud to you
• Having interviews in an accessible location
• Being accompanied by a service dog
• Having a sign language interpreter present for the interview

A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response.

LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information.

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Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records.

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