Okay, I've searched for Research Data Scientist roles in New York within the advertising technology industry, requiring a Master's degree in Data Science, experience in Python, and proficiency in machine learning techniques for full-time positions. I found 27 suitable job listings for you.

Sure. Here's the analysis:

Job Analysis:

The role of Research Data Scientist at Tatari is fundamentally designed to harness data analytics and machine learning techniques to enhance TV advertising effectiveness for clients in a fast-evolving advertising technology landscape. The primary responsibilities revolve around building predictive models and developing algorithms that translate complex data into actionable insights for both internal teams and clients. Given the company's focus on an automated, digital-like user experience for TV ads, a deep technical understanding coupled with creativity in problem-solving is essential. Candidates will face challenges related to navigating diverse datasets, optimizing algorithms under tight timing constraints, and synthesizing findings into clear insights. Success in this position isn't merely about technical prowess; it requires a proactive approach to collaboration with engineering and client-facing teams, as well as a strategic mindset to identify key trends and opportunities for product enhancement in a highly competitive ad tech industry.

Company Analysis:

Tatari operates within the vibrant and rapidly evolving ad tech sector, focusing on modernizing TV advertising—a transition that suggests a high degree of innovation and reactive strategy. Being recognized as one of the hottest companies in this field signifies that Tatari is positioned not just as a participant but as a potential leader in this transformation. The culture likely values rapid iteration, creativity, and collaboration across disciplines, requiring team members to be agile thinkers. The executive team’s experience underscores a wealth of knowledge in both startups and established tech, which may influence a dynamic yet structured environment. This Research Data Scientist role is placed at a strategic intersection of product development and client engagement, suggesting significant visibility and impact within the organization. It’s a role poised to contribute to Tatari’s long-term goal of redefining marketing analytics, highlighting its vital strategic alignment with the company's mission.

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

• Tell me about a time when you had to solve a complex problem in a fast-paced environment. What approach did you take?
• Can you describe your experience with building predictive models? What methodologies did you use, and what were the outcomes?
• Share an instance where your data analysis led to actionable business insights. How did you communicate those findings to your team?
• Discuss a time when you faced ambiguity in a project. How did you manage it and what was the result?
• What strategies do you employ when translating complex statistical data into understandable insights for non-technical stakeholders?
• How would you evaluate the success of a predictive model you built? What metrics would you consider?
• If tasked with improving an existing algorithm, what steps would you take to identify areas for enhancement?
• Imagine you are given a dataset with missing values and outliers. How would you approach cleaning and preparing it for analysis?
• Why do you want to work for Tatari, and how do you think your skills align with our mission?
• How do you stay current with developments in machine learning and data analysis? Can you give an example of how you’ve applied a recent trend to your work?
• What excites you about working in the ad tech industry, particularly in the context of TV advertising?
• Do you have any specific questions about our company culture or team structure?
• What do you see as the most significant challenges in translating TV ad data into actionable insights?
• Can you describe a project where you collaborated with multiple teams? What was your role, and how did you ensure effective communication?
• What do you think is the role of creativity in data science, and how do you demonstrate that in your work?