Okay, I've searched for Data Scientist roles in the Los Angeles area, specifically in People Analytics, with a requirement of 6+ years of experience, offering remote work options, and a salary range of $185,000 to$240,000. I found 42 positions that match your criteria.

Sure. Here's the analysis:

Job Analysis:

The People Analytics Data Scientist at Whatnot is fundamentally hired to transform complex people data into actionable insights that enhance talent management and organizational performance. The role necessitates a dual approach of strategic vision and hands-on execution, requiring the individual to design a comprehensive analytics strategy that aligns with the broader goals of the organization. Key responsibilities include building analytics capabilities that empower decision-making across teams, creating dashboards for reporting, and fostering cross-functional collaboration to interpret data into successful HR practices. Candidates will likely face challenges in consolidating disparate data sources into coherent insights amid a fast-paced growth environment. Success in this role is defined by the ability to improve recruitment, retention, and employee engagement through innovative analytical methods and effective communication of findings to leadership and teams, demonstrating the impact of data-driven decisions on people operations.

Company Analysis:

Whatnot is positioned as a fast-growing leader in the livestream shopping space, pioneering a unique blend of community interaction and e-commerce. The company's rapid growth and expansive marketplace indicate a dynamic and innovative culture that values adaptability and forward-thinking problem-solving. Whatnot's commitment to a remote co-located team across various international hubs reflects a modern approach to workplace flexibility and diversity. The role of the People Analytics Data Scientist is crucial within this context, as it directly supports the company’s aim to innovate not just in product offerings but also in internal talent management practices. With a focus on data-led decision-making, this role involves significant collaboration across functions, suggesting visibility with leadership and the necessity for alignment with Whatnot's strategic growth objectives. The culture appears to demand not only technical expertise but also a strong understanding of human behavior and ethical considerations in data usage, positioning the candidate as a change agent within the organization.

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

• Tell me about a time when you had to analyze a complex dataset to inform a decision. What was your approach, and what was the outcome?
• Describe a situation where you had to influence stakeholders using data insights. How did you present your findings?
• Can you share an experience where you implemented a new analytics tool or system? What challenges did you face and how did you handle them?
• Give an example of a time you faced ambiguity in a data-related project. How did you ensure you delivered on expectations?
• How would you approach creating a dashboard for tracking employee engagement metrics? What key elements would you include?
• What methods would you use to predict employee attrition rates, and how would you communicate your findings to management?
• Describe how you would integrate data from multiple HR systems to ensure a unified analytics approach. What steps would you take?
• Imagine you’re tasked with demonstrating the business impact of a new employee training program. What analytics would you use?
• Why are you interested in working at Whatnot specifically, and how do your skills align with our goals in the livestream shopping space?
• How do you believe your values align with Whatnot's commitment to ethical data use and diversity in the workplace?
• What are some of the trends you see affecting talent management in the e-commerce industry in the next few years?
• If hired, what would be your immediate priorities in the first 90 days to establish a People Analytics function?
• What questions do you have about our current analytics initiatives or team structure to better understand how you might fit into it?
• How do you see the role of storytelling in data influencing decision-making within organizations? Can you provide an example?