Staff Quantitative UX Researcher, Search

Google

Google is a global technology leader focused on organizing the world's information and making it universally accessible.

Mountain View, CA, USA • New York, NY, USA • San Francisco, CA, USA

$168,000 - $252,000

Data

Staff Software Engineer

In-Person

5,000+ Employees

8+ years of experience

AI · Enterprise SaaS · Consumer

Description For Staff Quantitative UX Researcher, Search

Google Search is seeking a Staff Quantitative UX Researcher to help reimagine what it means to search for information. As a Quantitative UX Researcher, you'll be part of Google's User Experience (UX) team, working alongside UX Designers, Researchers, Writers, Content Strategists, Program Managers, and Engineers. You'll investigate user behavior and needs using empirical research methods such as logs analysis, survey research, path modeling, and regression analysis. The role requires expertise in behavioral research design, statistical methods, and programming to improve user experience. You'll work directly with stakeholders across functions and levels, having impact at all stages of product development. The position offers opportunities to work with and learn from UXRs across Google through regular meetups, mentor programs, and access to internal research tools. The Search team's mission is to maintain a universally accessible and useful experience that billions of people around the world rely on while solving complex engineering challenges and expanding infrastructure.

Last updated 3 months ago

Responsibilities For Staff Quantitative UX Researcher, Search

Influence stakeholders across functions to gain support for research-based, user-centric solutions
Drive project priorities in alignment with larger project goals, and coordinate allocation of resources within the project
Lead ideas to improve products and services through research-driven insights and recommendations
Drive teams to define and evaluate product, service, and ecosystem impact
Lead vision and strategy discussions through research by analyzing, consolidating, or synthesizing what is known about user, product, service, or business needs

Requirements For Staff Quantitative UX Researcher, Search

Python

Java

Bachelor's degree in Human-Computer Interaction, Cognitive Science, Statistics, Psychology, Anthropology, related field, or equivalent practical experience
8 years of experience in an applied research setting, or similar
Experience in programming languages used for data manipulation and computational statistics
Master's or PhD degree in Human-Computer Interaction, Cognitive Science, Statistics, Psychology, Anthropology, or related field (preferred)
8 years of experience conducting UX research on products (preferred)
7 years of experience working with executive leadership (preferred)
5 years of experience managing projects, and working in a large, matrixed organization (preferred)

Benefits For Staff Quantitative UX Researcher, Search

Medical Insurance

Vision Insurance

Dental Insurance

Equity

401k

Medical Insurance
Vision Insurance
Dental Insurance
Equity
401k

Google

Google is a global technology leader focused on organizing the world's information and making it universally accessible.

Mountain View, CA, USA • New York, NY, USA • San Francisco, CA, USA

$168,000 - $252,000

Data

Staff Software Engineer

In-Person

5,000+ Employees

8+ years of experience

AI · Enterprise SaaS · Consumer

Google

Find the length of the longest strictly increasing subsequence in an array of integers. Describe your approach and its complexity, considering edge cases. Provide examples to illustrate your solution. How would the approach handle edge cases such as an empty array, or an array with only one element, impacting complexity and efficiency of the approach taken? What is the time and space complexity of your solution? Provide the results for the sample arrays `[1, 3, 2, 4, 5]` and `[10, 9, 2, 5, 3, 7, 101, 18]` to ensure proper functionality of your function, by returning 4 in both test cases. This will ensure a good understanding of increasing subsequences in a sequence of numbers in an array, while testing for a well-defined approach that is efficient to use with a variety of test data sets. This showcases proficiency in algorithmic thinking and problem-solving skills by handling an array of integers to find the longest length of a strictly increasing subsequence while addressing edge cases that may arise from the sample data set used in this test case. It shows a deep understanding of the problem, as well as the ability to articulate, plan and design a proper solution to provide the right output for each test case provided in this simulated scenario. This emphasizes the importance of code quality and readability, alongside accuracy of the algorithm to assess for proficiency in the related subject matter of programming and computer science principles that are essential for the role being assessed during this interview process. This would ensure your approach is robust and adaptable to different datasets, showcasing a solid understanding of data structures and algorithms and best practices for writing clean and efficient code for software development tasks that require these skills on the job daily in a multitude of projects throughout different teams as well as departments that handle data sets of different formats for various software being implemented across platforms where these are deployed for specific functions that relate to them to facilitate the development process for various user needs and requirements in the long run over the years in the industry with current trends using similar coding techniques at this stage or level of sophistication regarding different paradigms applicable here according to what can be adopted as far as current resources permit at any given point along the timeline for improvements that are needed in relation with available funds at the moment etcetera, to keep things viable for longer-term sustainability within market forces at this juncture given whatever competing forces might impact profitability.

Data Structures & AlgorithmsHard

Let's simulate a coding interview scenario. I'd like you to solve a problem and articulate your thought process as you go. Imagine you're given an array of integers. Your task is to write a function that finds the length of the longest strictly increasing subsequence in that array. A strictly increasing subsequence is a sequence of numbers from the array such that each number is greater than the previous one, and their original order in the array is maintained. For example, in the array [1, 3, 2, 4, 5], one possible increasing subsequence is [1, 2, 4, 5], and the longest increasing subsequence is [1, 2, 4, 5], which has a length of 4. Another possible increasing subsequence is [1, 3, 4, 5] which has length of 4. Your function should return 4 in this case. Another example is [10, 9, 2, 5, 3, 7, 101, 18]. The longest increasing subsequence is [2, 3, 7, 18], which has a length of 4. Your function should return 4. Can you describe your approach and then implement the function? Consider edge cases, like an empty array or an array with only one element. How would your approach handle those? What is the time and space complexity of your solution?

Arrays

Dynamic Programming

Google

How would you design a web proxy?

System DesignMedium

Let's design a web proxy. Consider the following requirements: Basic Functionality: The proxy should be able to forward HTTP and HTTPS requests from clients to web servers and return the responses. Caching: Implement caching to reduce latency and bandwidth usage for frequently accessed resources. How would you handle cache invalidation? Security: The proxy should support HTTPS and protect client data. How would you handle SSL/TLS certificates? Scalability: The proxy should be able to handle a large number of concurrent connections. What architectural choices would you make to ensure scalability? Authentication: Implement basic authentication (username/password) to control access to certain websites. Logging: Log requests and responses for debugging and monitoring purposes. What information should be logged, and how would you manage log files? Blocking: Implement the functionality to block access to certain websites based on a blacklist. Discuss the architecture, components, and algorithms involved in building such a web proxy. Include considerations for performance, security, and maintainability. Provide example scenarios and solutions to potential challenges.

Arrays

Strings

Graphs

Dynamic Programming

Greedy Algorithms

Bit Manipulation

Google

Where do you see yourself in 5 years?

Behavioral

Where do you see yourself in 5 years?

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