Business Data Scientist, Competition Economic Analyst

Google

Google is a global technology leader specializing in internet-related services and products.

San Francisco, CA, USA • Mountain View, CA, USA

$108,000 - $158,000

Data

Entry-Level Software Engineer

In-Person

5,000+ Employees

1+ year of experience

AI · Enterprise SaaS

Description For Business Data Scientist, Competition Economic Analyst

Google is seeking a Business Data Scientist, Competition Economic Analyst to join their Competition Economics subgroup. This role involves conducting data-driven economic analyses in high-stakes legal and regulatory proceedings for various Google products and services. The ideal candidate will have a Master's degree in Economics or related field, experience in econometric modeling, and knowledge of statistical software. Key responsibilities include collaborating with Competition Economists, providing expert advice on competition policy matters, assessing market trends, and working cross-functionally with various teams. The role offers a competitive salary range of $108,000-$158,000 plus bonus, equity, and benefits. Google values diversity and is committed to creating an inclusive work environment. This position provides an opportunity to work on critical analyses that shape Google's strategy and engagement with regulatory bodies worldwide.

Last updated 5 months ago

Responsibilities For Business Data Scientist, Competition Economic Analyst

Collaborate with experienced Competition Economists and conduct data-driven economic analysis to assess the competitive effects of Google's products and business practices
Partner with Competition Economists to provide expert advice to senior stakeholders on competition policy matters and contribute to Google's engagement with regulatory bodies worldwide
Assess emerging market trends and competitive dynamics to inform leadership and shape Google's strategy in response to evolving user needs
Collaborate cross-functionally with engineering, product, legal, and finance teams to provide economic evidence in competition-related litigation

Requirements For Business Data Scientist, Competition Economic Analyst

Python

Master's degree in Economics, a related field, or equivalent practical experience
Experience in econometric modeling and statistical analyses, using standard statistical software such as Stata or R

Google

Google is a global technology leader specializing in internet-related services and products.

San Francisco, CA, USA • Mountain View, CA, USA

$108,000 - $158,000

Data

Entry-Level Software Engineer

In-Person

5,000+ Employees

1+ year of experience

AI · Enterprise SaaS

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 prototype to answer questions on financial documents, like annual reports?

System DesignMedium

Let's design a prototype for a system that answers questions based on financial documents. To make this concrete, imagine a user needs to quickly find information within a company's annual report (a PDF containing financial statements, management discussion, etc.). The user might ask questions like: What was the company's revenue for the last fiscal year? What were the primary risks identified by management? How did operating expenses change compared to the previous year? Describe your approach to building a prototype that can accurately and efficiently answer these types of questions. Consider aspects such as: Document ingestion and processing:** How would you load and pre-process the financial documents (e.g., PDF parsing, text extraction)? Information retrieval:** What techniques would you use to identify the relevant sections of the document that contain the answer? Question answering:** How would you extract the answer from the relevant text (e.g., using rule-based methods, machine learning models)? Data storage:** How would you store the information from the documents to allow for efficient querying? User interface:** How would the user interact with the system to ask questions and receive answers? Evaluation:** How would you evaluate the performance of your prototype?

Arrays

Strings

Two Pointers

Stacks

Binary Search

Sliding Windows

Linked Lists

Trees

Recursion

Graphs

Dynamic Programming

Greedy Algorithms

Bit Manipulation

Database Problems

Google

Where do you see yourself in 5 years?

Behavioral

Where do you see yourself in 5 years?

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