GoPro, renowned for its action cameras and digital imaging technology, continues to lead the way in capturing experience-driven content globally. Established with a mission to help people capture and share their lives' most meaningful moments, GoPro has grown into an iconic brand synonymous with adventure and innovation.

As a Data Scientist at GoPro, you will dive into large datasets to uncover insights and drive strategic decisions across various facets of the business, from product development to market engagement. This role demands proficiency in statistical analysis, machine learning, and data visualization. You will be at the forefront of analytics, leveraging your skills to enhance the performance and functionality of GoPro products and services.

If you're inspired by the prospects of working with cutting-edge technology in a dynamic environment, this Interview Query guide is your essential resource. We will navigate you through GoPro's interview landscape, offering insights into the process and tips for success. Ready to jump in? Let’s begin!

Submitting Your Application

The first step is to submit a compelling application that reflects your technical skills and interest in joining GoPro as a Data Scientist. Whether you were contacted by a GoPro recruiter or have taken the initiative yourself, carefully review the job description and tailor your CV according to the prerequisites.

Tailoring your CV may include identifying specific keywords that the hiring manager might use to filter resumes and crafting a targeted cover letter. Furthermore, don’t forget to highlight relevant skills and mention your work experiences.

Recruiter/Hiring Manager Call Screening

If your CV happens to be among the shortlisted few, a recruiter from the GoPro Talent Acquisition Team will make contact and verify key details like your experiences and skill level. Behavioral questions may also be a part of the screening process.

In some cases, the GoPro data scientist hiring manager stays present during the screening round to answer your queries about the role and the company itself. They may also indulge in surface-level technical and behavioral discussions.

The whole recruiter call should take about 30 minutes.

Technical Virtual Interview

Successfully navigating the recruiter round will present you with an invitation for the technical screening round. Technical screening for the GoPro data scientist role usually is conducted through virtual means, including video conference and screen sharing. Questions in this 1-hour long interview stage may revolve around GoPro’s data systems, ETL pipelines, and SQL queries.

In the case of data scientist roles, take-home assignments regarding product metrics, analytics, and data visualization are incorporated. Apart from these, your proficiency against hypothesis testing, probability distributions, and machine learning fundamentals may also be assessed during the round.

Depending on the seniority of the position, case studies and similar real-scenario problems may also be assigned.

Onsite Interview Rounds

Followed by a second recruiter call outlining the next stage, you’ll be invited to attend the onsite interview loop. Multiple interview rounds, varying with the role, will be conducted during your day at the GoPro office. Your technical prowess, including programming and ML modeling capabilities, will be evaluated against the finalized candidates throughout these interviews.

If you were assigned take-home exercises, a presentation round may also await you during the onsite interview for the data scientist role at GoPro.

Quick Tips For GoPro Data Scientist Interviews

• Familiarize With GoPro's Products: Spend time understanding GoPro’s product line and think about how data science could improve user experience and product functionality.

• Be Prepared for Technical Depth: GoPro’s technical interviews can delve deep into data science topics such as machine learning algorithms, ETL processes, and statistical modeling. Brush up on these areas thoroughly.

• Showcase Your Analytical Skills: GoPro values data-driven insights. Be ready to discuss how your past experiences have led to actionable insights and business improvements.

Typically, interviews at Gopro vary by role and team, but commonly Data Scientist interviews follow a fairly standardized process across these question topics.

• Write a query to get the average order value by gender. Given three tables representing customer transactions and customer attributes, write a query to get the average order value by gender. Round the answer to two decimal places.

• Write a function missing_number to find the missing number in an array. You have an array of integers, nums of length n spanning 0 to n with one missing. Write a function missing_number that returns the missing number in the array. Complexity of (O(n)) required.

• Find the index where the sum of the left half equals the right half in a list. Given a list of integers, find the index at which the sum of the left half of the list is equal to the right half. If there is no such index, return -1.

• Write a function sorting to sort a list of strings in ascending order. Given a list of strings, write a function sorting from scratch to sort the list in ascending alphabetical order. Do not use the built-in sorted function. Return the new sorted list.

• Write a query to find the earliest date each user played their third unique song. Given a table of song_plays and a table of users, write a query to extract the earliest date each user played their third unique song. If a user has listened to less than three unique songs, display their name with a NULL date and song name.

• How would you build a model to predict which merchants DoorDash should acquire in a new market? As a data scientist at DoorDash, describe the steps and features you would use to build a predictive model for identifying potential merchants for acquisition when entering a new market.

• How would you determine the customer service quality through the chat box for small businesses on Facebook Marketplace? Your team at Facebook focuses on helping small businesses increase sales through the Marketplace app. Explain how you would assess the quality of customer service in chat interactions between small businesses and consumers.

• What business health metrics would you track on a dashboard for an e-commerce D2C sock business? As the person in charge of an e-commerce D2C business selling socks, list and explain the key business health metrics you would monitor on a company dashboard.

• Write a query to determine if user interactions (likes, comments) lead to higher purchasing volumes. Given three tables (users, transactions, and events), write a SQL query to analyze whether users who interact on the website (e.g., likes, comments) have a higher purchasing volume compared to those who do not interact.

• How does random forest generate the forest and why use it over logistic regression? Explain the process of generating a forest in a random forest algorithm and discuss the advantages of using random forest over logistic regression.

• How do we deal with missing square footage data to construct a housing price model? You have 100K sold listings over the past three years for Seattle, but 20% are missing square footage data. Describe methods to handle the missing data to build an accurate housing price prediction model.

• How would you build a model to predict which merchants DoorDash should acquire in a new market? As a data scientist at DoorDash, outline the steps to create a model that predicts which merchants the company should target for acquisition when entering a new market.

• How do you detect and handle correlation between variables in linear regression? Describe methods to identify and manage correlation between variables in a linear regression model. Explain the consequences of ignoring such correlations.

• How would you design a model to detect potential bombs at a border crossing? Outline the design of a model to detect potential bombs at a border crossing, including the selection of inputs and outputs, accuracy measurement, and testing procedures.

• How many more samples are needed to decrease the margin of error from 3 to 0.3? Given a sample size (n) with a margin of error of 3, calculate the additional samples required to reduce the margin of error to 0.3.

• What is the mean and variance of the distribution of (2X - Y)? Given (X) and (Y) are independent random variables with normal distributions (X \sim \mathcal{N}(3, 4)) and (Y \sim \mathcal{N}(1, 4)), determine the mean and variance of (2X - Y).

• How do you calculate the sample size and power for an AB test? For an AB test with a test group and a control group:

• Explain how to calculate the necessary sample size for accurate measurement.
• If the sample size is sufficient, should the power increase or decrease to measure very small differences between the groups?

What is the average salary for a Data Scientist at Gopro?

Q: What is the interview process like for a Data Scientist position at GoPro? A: The interview process at GoPro typically involves a phone screen with HR, a technical interview, and onsite interviews. During the onsite interviews, you'll meet with different team members to discuss your technical skills, problem-solving abilities, and fit with the company's culture.

Q: What skills are required to be a Data Scientist at GoPro? A: To be a Data Scientist at GoPro, you should have strong skills in data analysis, statistical modeling, machine learning, and programming languages such as Python and R. Experience with data visualization tools and cloud platforms can also be beneficial.

Q: What kind of projects will I be working on as a Data Scientist at GoPro? A: As a Data Scientist at GoPro, you will work on a variety of projects that may include analyzing user data, improving product recommendations, developing machine learning models, and providing insights to improve customer experience and operational efficiency.

Q: How can I best prepare for a Data Scientist interview at GoPro? A: To prepare for a Data Scientist interview at GoPro, you should practice common technical questions and case studies. Utilize resources from Interview Query to review past interview questions and to enhance your understanding of key concepts. Additionally, research GoPro’s products and how their data is used to make informed decisions.

Q: What is the company culture like at GoPro? A: GoPro has a dynamic and collaborative culture that values innovation, creativity, and diversity. The company encourages employees to push boundaries, think creatively, and work together to deliver the best experiences for its customers.

Embarking on a journey with GoPro as a Data Scientist is an exciting opportunity to join a company at the forefront of innovation in capturing life's most breathtaking moments. From our interview guides on Interview Query, you will gain valuable insights into the types of questions to expect and how to best prepare for them. We’ve also created interview guides for other roles, such as software engineer and data analyst, where you can learn more about GoPro's unique interview process for different positions.

At Interview Query, we empower you to unlock your interview prowess with a comprehensive toolkit, equipping you with the knowledge, confidence, and strategic guidance to conquer every challenge. You can check out all our company interview guides for better preparation, and if you have any questions, don’t hesitate to reach out to us.

Good luck with your interview!