Job Description
The SpringCube team curated the following job opportunity to help you in your job search. Explore the position below to find your next career move.
Company Overview
A leading global visual discovery platform connects millions of people with creative ideas, inspiration, and possibilities for planning meaningful experiences. The organization is focused on using technology, data, and artificial intelligence to improve how people discover and engage with content while creating opportunities for businesses to reach relevant audiences.
The organization is also investing heavily in AI as a partner that enhances creativity, improves decision-making, and amplifies business impact. The team values innovation, collaboration, flexibility, and the ability to apply technology thoughtfully to solve complex problems.
The Staff Data Scientist, Ads Product will serve as a pivotal individual contributor within the Ads organization, helping shape data-driven product strategy, operational excellence, and business performance. The role will provide product, engineering, and business teams with accessible, reliable data and actionable insights while helping ensure that data informs machine learning applications and broader product improvements.
Key Responsibilities
- Drive Ads Product strategy by identifying opportunities, generating insights, and supporting data-driven decision-making aligned with organizational objectives.
- Partner closely with product, engineering, and business stakeholders to understand complex and ambiguous business challenges.
- Translate business questions into structured analytical problems and provide insights into performance, opportunities, and strategic direction.
- Establish and maintain high standards for data integrity, consistency, reliability, and analytical quality.
- Serve as a strategic thought partner to Product Managers, Engineering leaders, and cross-functional stakeholders.
- Anticipate future product needs and identify high-impact questions that can be addressed through data.
- Define analytical roadmaps and translate high-level business challenges into actionable data initiatives.
- Guide analytical projects from problem definition through execution and delivery of measurable business outcomes.
- Connect financial and product performance by partnering with BizOps, Finance, and Strategy teams.
- Analyze revenue performance, product actions, and performance metrics to develop a comprehensive understanding of business impact and growth drivers.
- Communicate complex data findings, strategic insights, and recommendations clearly to technical and non-technical senior stakeholders.
- Influence business strategy and product decisions through compelling data narratives.
- Act as a subject matter expert for the broader Data Science organization.
- Share best practices in data analysis, strategic thinking, experimentation, and communication.
- Contribute to a culture of continuous learning, collaboration, and data excellence.
Required Qualifications
- Bachelor’s or Master’s degree in Data Science, Statistics, Economics, Business Analytics, or another quantitative field, or equivalent practical experience.
- 8+ years of combined post-graduate academic and industry experience applying advanced analytical methods to complex, real-world business problems using large-scale data.
- Experience working in a fast-paced technology environment is preferred.
- Exceptional business acumen and product sense.
- Proven ability to translate strategic business questions into analytical frameworks and actionable recommendations.
- Understanding of the advertising ecosystem, monetization mechanics, and/or real-time bidding.
- Strong interest and understanding of the financial aspects of advertising and monetization.
- Expertise in data democratization principles, including designing and maintaining foundational datasets.
- Experience building comprehensive business intelligence solutions.
- Strong fundamentals in statistics and experimentation.
- Ability to interpret and apply insights from causal inference techniques.
- Proven ability to influence cross-functional partners and senior leadership through compelling data narratives and strategic insights.
- Proficiency in SQL and Python.
- Experience with data visualization tools such as Tableau or Looker.
Disclaimer
SpringCube curates tech job listings from various company websites to support tech professionals globally.
- No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
- No Client Relationship: This company is not a client of SpringCube unless stated.
- To Apply: Click the Apply button to be redirected to the hiring company’s application page for this job.
- No Liability: SpringCube is not liable for inaccuracies.
