Okay, I've searched for Data Scientist Manager roles in California within the advertising industry, full-time positions requiring 10+ years of experience, and with salaries of $200,000 or more. I have found 52 positions for you.

Sure. Here's the analysis:

Job Analysis:

The Data Scientist Manager role at Nexxen is fundamentally about leading the design and delivery of advanced data-driven solutions that directly impact the programmatic advertising ecosystem, specifically targeting supply-side platforms (SSPs) and real-time bidding (RTB) optimization. The candidate is expected to transform massive, complex data sets—hundreds of billions of daily points—into actionable business insights and scalable machine learning models, enhancing Nexxen’s ability to serve advertisers, agencies, and publishers effectively. Beyond technical prowess, success in this role hinges on strategic leadership: mentoring a team of data scientists, fostering collaboration across engineering and product teams, and communicating complex technical findings to diverse stakeholders. The need for experience in AdTech and programmatic mechanisms underscores how tailored the technical challenges are, requiring comprehensive domain knowledge to innovate within latency-sensitive, large-scale environments. Candidates must balance hands-on technical excellence (Python, SQL, TensorFlow/Keras) with a results-driven, customer-centric mindset, adaptability to a fast-paced, agile environment, and a strong emphasis on hiring and team culture development. Early success would likely be measured by developing impactful ML solutions, growing a high-performing team, and building effective cross-functional workflows that amplify Nexxen’s competitive edge in data-driven advertising.

Company Analysis:

Nexxen operates at the forefront of programmatic advertising technology, positioning itself as a global, innovation-driven company with a unique focus on flexible and unified advertising solutions powered by rich data. Their integration of DSP and SSP platforms complemented by a proprietary data platform reflects a sophisticated approach to serving diverse clients — from broadcasters to agencies — in a hyper-niche and rapidly evolving market. As a publicly traded company with a global footprint, Nexxen combines the agility of a tech-driven startup with the stability that comes from mature market presence and regulatory oversight. The company culture highlights the '3Cs': Customer Centricity, Curiosity, and Collaborative Teamwork without Ego, signaling an open, dynamic, and mission-oriented environment where creativity and hustle are prized but grounded by shared respect. For a Data Scientist Manager, this means working within a high-expectation culture that values innovation balanced with practical business impact and harmonious cross-functional collaboration. The role's placement, likely reporting to senior leaders and working alongside product and engineering, affords visibility and influence on strategic initiatives central to Nexxen’s growth ambitions in advanced TV and data-driven advertising. This is a strategic hire aimed not only at execution excellence but also at scaling and elevating the data science function to keep Nexxen ahead in a competitive, technology-intense industry.

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

• Behavioral: Tell me about a time when you led a data science project that significantly impacted business performance. What challenges did you face and how did you overcome them?
• Behavioral: Describe an experience where you had to mentor or develop junior team members. How did you balance team growth with project delivery?
• Behavioral: Can you share a situation where cross-functional collaboration was critical to project success? How did you manage differing priorities or communication gaps?
• Behavioral: Explain how you maintain a curious mindset when working on repetitive or large-scale data challenges.
• Technical: How would you design a machine learning model to optimize real-time bidding strategies on a supply-side platform? What data inputs and model architecture would you consider?
• Technical: Discuss your experience working with latency-sensitive systems. How do you approach optimizing machine learning models under strict performance constraints?
• Technical: Explain your proficiency and approach using Python, SQL, and frameworks like TensorFlow or Keras in building scalable data science pipelines in an AdTech environment.
• Technical: What statistical techniques and hypothesis testing methods do you commonly employ to validate the performance and impact of your models?
• Situational: Imagine your data science team is struggling to hit deadlines due to dependencies on engineering. How would you address and resolve this bottleneck?
• Situational: Suppose a key stakeholder is skeptical about the value of a complex data insight your team has produced. How would you communicate to build understanding and buy-in?
• Situational: You're tasked with building a new hiring strategy to rapidly expand the data science team. What key qualities would you prioritize and how would you ensure cultural fit?
• Company Fit: What about Nexxen’s business and culture resonates with your career goals and working style?
• Company Fit: How do you see your experience in AdTech aligning with Nexxen’s mission to unify flexible advertising powered by data?
• Company Fit: Nexxen emphasizes a collaborative environment 'with no ego.' How do you foster collaboration and inclusivity within your teams, especially under pressure?
• Questions for interviewer: How does Nexxen currently measure the success and business impact of data science initiatives?
• Questions for interviewer: Can you describe the current team structure and how the Data Scientist Manager collaborates with product and engineering leadership?
• Questions for interviewer: What are the biggest challenges Nexxen anticipates in scaling its data science capabilities over the next 12-18 months?