Scribd
San Francisco
201-500 employees
The best audiobooks, books, and more, available anywhere. Join us on our mission to change the way the world reads.
Other Open Roles
Prior Listings
- Machine Learning Engineer - Recommendations
- Machine Learning Engineer
- Senior Product Manager, Content Data
- Senior Manager Data Engineering
- Director of Applied Research / Data Science
- Product Analyst, Account
- Senior Machine Learning Engineer (MLOps) - Applied Research
- Senior Machine Learning Engineer - Recommendations
- Senior Backend Engineer (Data pipeline and Metadata)
- Data Platform Engineer
- Senior Data Engineer
- Senior Backend Engineer (Data pipeline)
- Data Scientist
- Senior Applied Research Analyst
- Data Operations Manager
- Senior Manager Machine Learning
- Sr. Machine Learning Engineer
- Data Engineering Manager
- Data Analyst
- Senior Product Analyst/ Senior Data Scientist, Advertising
Senior Product Analyst, Advertising
Senior Product Analyst, Advertising
This job is no longer open
At Scribd (pronounced “scribbed”), we believe reading is more important than ever. Join our cast of characters as we work to change the way the world reads by building the world’s largest and most fascinating digital library: giving subscribers access to a growing collection of ebooks, audiobooks, magazines, documents, Scribd Originals, and more. In addition to works from major publishers and top authors, our community includes over 1.9 M subscribers in nearly every country worldwide.
Have you heard about our future of work program, Scribd Flex? As a key principle, we embrace flexibility and allow employees, in partnership with their manager, to choose the work-style that best suits their individual needs and preferences. And, we create intentional in-person moments with each other that build culture and connection.
About the Team:
The mission of the business strategy & analytics team is to ensure the entire company understands business performance and trends, and to empower all business teams to make good decisions with data.
The UGC Pillar vision and mission is to inspire the world through stories and knowledge by being the largest and most accessible library that connects storytellers with their audience. Every month, hundreds of millions of people come to Scribd and SlideShare, our UGC products, to grow themselves personally and professionally.
About You:
You are a highly motivated and analytical individual who loves solving ambiguous business problems. You thrive in a fast-paced and collaborative environment, where you can leverage your strong communication skills to effectively interact with executives, stakeholders, and cross-functional teams. You are a strategic thinker who can balance big-picture objectives with attention to detail, and you possess a natural curiosity to explore complex problems and find innovative solutions
You Will:
• Collaborate with the product team to design and execute experiments, A/B tests, and multivariate tests to optimize and improve key metrics.
• Analyze large-scale datasets to extract actionable insights and identify growth opportunities.
• Develop statistical models and algorithms to understand user behavior, predict ad performance, and drive decision-making.
• Work closely with stakeholders to define and track key performance indicators (KPIs) and provide regular reports and dashboards to inform decision-making.
• Provide expert guidance on statistical methodologies, experimental design, and data analysis techniques to enhance the team's analytical capabilities.
• Partner with cross-functional teams, including engineering, product management, and product marketing, to drive the implementation of data-driven solutions and recommendations.
• Stay up-to-date with the latest advancements in data science, advertising technologies, and industry trends to identify opportunities for innovation and improvement.
You Have:
• A strong background in data science, with a focus on statistical modeling, experimental design, and data analysis.
• Proven experience working in the advertising industry
• Expertise in programming languages such as Python or R, as well as proficiency in SQL for data extraction and manipulation.
• In-depth knowledge of statistical techniques, such as regression analysis, hypothesis testing, and experimental design.
• Experience with machine learning algorithms and their application in advertising optimization is highly desirable.
• Excellent communication skills, with the ability to distill complex insights into clear and actionable recommendations for both technical and non-technical stakeholders.
• Strong business acumen and the ability to understand the impact of data-driven insights on key business objectives.
• A master's or doctoral degree in a quantitative field such as data science, statistics, computer science, or a related discipline is preferred.
• Ability to work independently and manage multiple projects simultaneously.
• Plus if you have experience with Looker and LookML
At Scribd, your base pay is one part of your total compensation package and is determined within a range. Our pay ranges are based on the local cost of labor benchmarks for each specific role, level, and geographic location. San Francisco is our highest geographic market in the United States. In the state of California, the reasonably expected salary range is between $113,000 [minimum salary in our lowest geographic market within California] to $183,250 [maximum salary in our highest geographic market within California].
Outside of California, the reasonably expected salary range is between $93,000 [minimum salary in our lowest US geographic market outside of California] to $173,750 [maximum salary in our highest US geographic market outside of California].
We carefully consider a wide range of factors when determining compensation, including but not limited to experience; job-related skill sets; relevant education or training; and other business and organizational needs. The salary range listed is for the level at which this job has been scoped. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for a competitive equity ownership, and a comprehensive and generous benefits package.
Benefits, Perks, and Wellbeing at Scribd
*Benefits/perks listed may vary depending on the nature of your employment with Scribd and the geographical location where you work.
• Healthcare Insurance Coverage (Medical/Dental/Vision): 100% paid for employees
• 12 weeks paid parental leave
• Short-term/long-term disability plans
• 401k/RSP matching
• Tuition Reimbursement
• Learning & Development programs
• Quarterly stipend for Wellness, Connectivity & Comfort
• Mental Health support & resources
• Free subscription to Scribd + gift memberships for friends & family
• Referral Bonuses
• Book Benefit
• Sabbaticals
• Company wide events
• Team engagement budgets
• Vacation & Personal Days
• Paid Holidays (+ winter break)
• Flexible Sick Time
• Volunteer Day
• Company-wide Diversity, Equity, & Inclusion programs
Want to learn more about life at Scribd? www.linkedin.com/company/scribd/life
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We want our interview process to be accessible to everyone. You can inform us of any reasonable adjustments we can make to better accommodate your needs by emailing accommodations@scribd.com about the need for adjustments at any point in the interview process.
Scribd is committed to equal employment opportunity regardless of race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law. We encourage people of all backgrounds to apply, and believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful.
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Remote employees must have their primary residence in: Arizona, California, Colorado, Connecticut, Delaware, DC, Florida, Hawaii, Iowa, Massachusetts, Maryland, Michigan, Missouri, Nevada, New Jersey, New York, Ohio, Oregon, Tennessee, Texas, Utah, Vermont, Washington, Ontario (Canada), British Columbia (Canada), or Mexico. *This list may not be complete or accurate, and candidates should speak with their recruiter about their specific location for remote work.
#LI-Remote
This job is no longer open