What Kind Of Data Science Projects Will Land You An Internship At The Big 4 Tech Companies?

Google is ane of the well-nigh dominant players in the technology industry. From its search engine used past billions of people worldwide; to its slew of software and platforms, which includes YouTube, Gmail, Hangouts, Google Maps, and Google Bulldoze; to its advertising and retail tools, few companies are as influential or have as bully an impact on the world as Google. It's no surprise then that the company'southward internships are highly coveted and designed to concenter the best and brightest.

Google offers internships across 3 categories: engineering and technology (software engineering science, UX research and design, and data scientific discipline), business (sales, marketing, communications, and Hour), and BOLD, which stands for Build Opportunities for Leadership and Development—an internship program for undergraduate seniors from historically underrepresented backgrounds. Internships are typically full-fourth dimension, paid, and run for 12-fourteen weeks during the summer.

Like other major tech companies, Google's internships give interns the opportunity to work on projects that will run across the light of day, whether they're public-facing products and services, or tools designed to exist used in-house. The company also pairs interns with mentors and managers, makes accessible additional learning and development programs, and those who perform well are oftentimes considered for a permanent full-time position.

What does an intern at Google practice?

The responsibilities of a information science intern at Google will vary depending on the team they bring together and the project they've been assigned. Across the board, though, data scientific discipline interns are expected to exist familiar with programming languages such equally SQL, Java, C++, or MATLAB, and to have a groundwork in or be studying Statistics, Applied Mathematics, Estimator Science, or a related technical field. Information technology besides helps to take feel in or cognition of information gathering, cleaning up circuitous data sets, business organisation analytics, gleaning insights from large information, and an interest in working on Google products.

With a sufficient technical foundation, Google's data science interns are thrust into the deep terminate and work on real-globe projects. The visitor's interns have helped launch AdSense features—the website monetization tool used by more than than 11 one thousand thousand websites and generates billions of dollars in annual acquirement; they've built a notifications viewer, which helps Google'due south internal Billing squad engineers manage activity in client accounts; they've worked on how to make Google Assistant better for people with visual impairments; and they've created new tools to help parents monitor their kids' device usage.

In a nutshell, Google'south data science interns are considered part of the team and are expected to contribute both their technical skills and creative problem-solving to whatever products, services, or projects the company throws their manner. They are besides expected to collaborate with a wide variety of people, from fellow interns to seasoned employees across different teams to see their projects through completion.

What is the process to get a data scientific discipline internship at Google?

Landing an internship at Googles requires showing the application reviewers that y'all have both the technical chops to handle database querying challenges and the right attitude, or "Googleyness", to thrive at one of the most innovative companies in the earth."Are you intellectually curious? Practice you piece of work well in an cryptic environment? Practice you go excited by tackling a really large problem?" said Kyle Ewing, manager of talent and outreach programs in Google'southward People Operations Department. "That is the kind of person we know is the about successful hither."Below are steps to follow that can bring you closer to a data scientific discipline internship at Google.

Step i: Build on your skills.

A baseline requirement for qualified applicants is cognition of programming languages such as SQL or Python, and some experience in solving analytical bug using quantitative approaches. If your prior degree-program didn't help you develop these skills, or if y'all're rusty, consider doing a refresher through contained study or a mentor-supported online class.

Some of Google'due south data science internships crave that a candidate be currently enrolled in a degree plan in Computer Scientific discipline, Statistics, Applied Mathematics, Economic science, or Physics. Some internship roles—particularly those related to machine learning—require a Ph.D. or other preferred qualifications in Deep Learning, Computer Vision, Biostatistics, and Advanced Analytical Methods.

It's of import to align your skills with the requirements of the chore—if you have a skills gap, piece of work on filling it in.

Step 2: Build that CV and portfolio

The résumé is the showtime matter that Google's hiring squad will run into of a candidate. The company's own careers page advises that candidates utilize their CV to highlight how their skills align with the internship they're applying for and provide specific examples of project successes. Candidates should as well include on the CV their GPA, higher transcript (unofficial is fine), and any relevant coursework or projects that demonstrate their skills and experience. It's best to go along the CV to one page.

If the company's hiring team is impressed with your CV, they may then enquire to see your portfolio. This is an opportunity for you lot to testify off your leadership skills, your grasp of the quantitative discipline, and any technical experience you have with statistical software, experimental design, sampling methods, statistical data analysis, multivariate assay, and creative trouble-solving.

Hiring managers are looking for experience from either erstwhile internships or personal projects that show off office-related cognition and leadership skills.

"This does not mean you have to accept managed people," Ewing said. "But what kind of immersion leadership have you demonstrated and what kind of initiative have you taken on campus?"

Step iii: Think about your "Googleyness"

When choosing between applicants, Google considers a person's "Googleyness," which is a reflection of an individual's personality.

"How like shooting fish in a barrel are you to get along with?" said Kevin Miller, who previously worked on Google's AdWords. In summing up Google'south recruiting process, he said that the company measures "Googleness" by asking themselves whether they would want to work with the candidate every single day. "Would y'all be happy if yous sat next to this person every single twenty-four hour period? Would yous exist able to practice skillful piece of work, and would you lot enjoy their company?"

This means that in improver to brushing up on your technical skills, you demand to invest only every bit much in your communication and interpersonal skills.

Step 4: Smoothen in the interview

If y'all make it to the interview stage, the next step involves a serial of interviews over the phone, via video briefing, or in-person in Mountain View, New York, or at ane of the visitor's other campuses to assess your skills.

For a data science internship, yous can await to be asked technical questions for which you volition need to code either on a whiteboard, in Google Docs, or over the phone. Google advises that it'southward important to show the hiring manager how yous arrived at your solution, so be sure to construction your responses in a way that shows your piece of work, and call back aloud.

"We look at general cognitive ability," said Ewing. "How do you lot unpack and tackle these large problems that be and distill them down to something you can take concord of?"

In addition to showing that yous understand technical concepts like linear models or quantitative analysis of information, some of the behavioral questions candidates should prepare for include: "How practice y'all piece of work all-time, both as an individual and as part of a team?", "What challenges have yous faced at school or at work and how did you overcome them?", and "Which of your skills or experiences would exist avails in the part and why?"

Are interns working in data science at Google paid?

Google interns in the Usa are among the most well-compensated of any internet company, with Glassdoor reporting that Google interns are paid around $7,500/month.

In addition to generous bounty, a data science intern at Google receives a signing bonus, housing stipend, coverage for any travel expenses related to moving for the summer, and health, dental, and eye insurance for the duration of their internship.

What's it like to be an intern in information science at Google?

The experience of being a data science intern varies depending on the team with which an intern works. But both current and former interns have said that Google'southward internships take them seriously as professionals.

Instead of fetching java, taking luncheon orders, or photocopying, data science interns can wait to perform data analytics, work with big datasets, and on some projects serve as the team's quantitative analyst. At the completion of the internship, those who do well are often invited to return the post-obit year or are offered a full-time part.

"I am actually seeing that I am impacting the business organization and my role isn't simply to sit here for 11 weeks," said Cedoni Francis, a 2019 Google intern. "With this programme, you are a total-time employee and are expected to produce work as such even though you're an intern."

Is data science the right career for you lot?

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