Okay, I've searched for Lead Data Scientist roles in Portland, OR, focusing on positions that involve machine learning and big data, require over 8 years of experience, and are offered by companies providing competitive benefits. I found 42 positions that match your criteria.

Sure. Here's the analysis:

Job Analysis:

The Lead Data Scientist at Scribd is fundamentally charged with leveraging data to enhance the discovery, curation, and engagement of content across its platforms, which includes analyzing vast datasets to inform strategic decisions in content creation and acquisition. Central responsibilities include defining content valuation frameworks, creating predictive models, and guiding content strategy in alignment with evolving technologies like AI. This role is highly strategic yet deeply technical, necessitating cross-functional collaboration with product managers and engineering teams. Candidates will frequently tackle complex analytical problems, requiring them to navigate ambiguity while providing actionable insights that directly influence user engagement and business outcomes. Success will be measured not only by the technical execution of data initiatives but also by the candidate's ability to communicate findings to diverse stakeholders and foster innovation within the team.

Company Analysis:

Scribd operates at the intersection of technology and literature, positioning itself as a leader in the digital content space while emphasizing innovation and accessibility. The organization thrives on a culture that values GRIT—Goals, Results, Innovative thinking, and Team collaboration—suggesting a high-performance environment that encourages boldness and creativity. This role is pivotal within a collaborative structure tailored to support both individual flexibility and community connectivity, aligning with their commitment to an inclusive workplace. A successful candidate will find fertile ground for influence, given the strategic nature of this position which interacts extensively with various stakeholders and contributes directly to the company's growth trajectory amidst rapid industry changes. As Scribd seeks to enhance content value and user experiences, the Lead Data Scientist's work becomes crucial in shaping both immediate and long-term strategic initiatives.

Absolutely. Here are some mock interview questions that could come up:

• Tell me about a time when you had to use data analysis to solve a complex business problem. What approach did you take?
• Describe an example of a project where you had to work cross-functionally. How did you ensure alignment among different teams?
• Can you provide an instance where you had to present technical findings to a non-technical audience? How did you tailor your communication?
• Explain a challenging machine learning model you built. What were the major obstacles, and how did you overcome them?
• How would you approach designing an experiment to measure content impact on user engagement?
• What techniques would you apply when developing a predictive model for assessing content performance?
• Given the rise of AI technologies, how do you see data science evolving in the content discovery domain?
• Imagine you find a discrepancy in key content metrics shared by the Data Engineering team. How would you investigate and resolve the issue?
• Why are you specifically interested in the Lead Data Scientist role at Scribd?
• What is it about Scribd's mission to democratize knowledge that resonates with you?
• How do you ensure that your personal values align with the culture of a company?
• What questions do you have about the data and analytics strategies currently employed at Scribd?
• Can you describe your experience with financial modeling or content ROI frameworks?