Okay, I've searched for Data Science Manager roles in Oakland, CA with a focus on predictive analytics, requiring 5+ years of experience, and offering flexible work options. I found a total of 27 positions that match your criteria.

Sure. Here's the analysis:

Job Analysis:

The Data Science Manager role at Clorox is fundamentally about leveraging advanced data science techniques to inform marketing strategies across a diverse portfolio of trusted brands. This position is deeply embedded in the company's commitment to growth and innovation, as it involves developing AI/ML models to enhance marketing analytics and translate complex data into actionable insights that drive business results. Key responsibilities include collaborating with various cross-functional teams, encompassing Marketing, Sales, and R&D, to define project scopes, engage in strategic discussions, and present findings in a compelling narrative manner. The ideal candidate will encounter challenges such as navigating ambiguity in data quality and complexity, addressing stakeholder needs, and crafting solutions that align with business objectives. Success in this role would not only mean delivering technical expertise but also embodying a partnership mentality, ensuring data-driven decisions resonate throughout the organization and manifest into significant business impacts.

Company Analysis:

Clorox operates in the consumer goods industry, positioning itself as a trusted leader with a strong focus on sustainability and social responsibility, having recently been ranked No. 1 on Barron's 100 Most Sustainable Companies list. The company’s culture emphasizes wellbeing, inclusion, and continuous growth, indicating a work environment that values diverse backgrounds and encourages innovation. This atmosphere is crucial for a Data Science Manager, as the job necessitates collaboration and effective communication with non-technical stakeholders across various departments. Moreover, the role may have significant visibility within the organization, reflecting the importance of data-driven decision-making at Clorox. As a clear strategic hire, this position aims to enhance the company’s marketing capabilities through advanced data science, reinforcing Clorox's commitment to staying ahead in a competitive market while aligning tightly with their long-term goals of growth and sustainability.

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

• Tell me about a time when you had to explain a complex data concept to a non-technical audience. How did you ensure they understood?
• Can you describe a project where you deployed an AI/ML model? What were the challenges you faced and how did you overcome them?
• Describe a situation where you had to collaborate with multiple stakeholders to achieve a data-driven solution. How did you ensure alignment?
• How do you prioritize and manage multiple data science projects with tight deadlines?
• What methodologies do you typically use for predictive modeling, and why do you favor them?
• How would you approach a situation where the data you're working with is incomplete or messy?
• Imagine you are tasked with improving the marketing strategy for a product using data analytics. What steps would you take to approach this challenge?
• If you identified an emerging trend in your data analytics that could significantly impact Clorox's marketing strategy, how would you present this to the leadership team?
• What attracts you to Clorox specifically, and how do you envision contributing to its mission and values?
• How do you see your background and experiences aligning with Clorox's commitment to sustainability and inclusion?
• What questions do you have about the cross-functional teams you would engage with in this role?
• Can you tell me more about the company culture at Clorox and what initiatives are in place for employee wellbeing?
• What additional resources or support do you think would help you succeed in your role as Data Science Manager?