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Data Scientist, Intern
Duolingo Pittsburgh, PA
Intern | Business Services 7 Months Ago
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Duolingo is Hiring a Data Scientist, Intern Near Pittsburgh, PA

Our mission at Duolingo is to develop the best education in the world and make it universally available. But we’ve got more left to do — and that's where you come in!

Duolingo is the most popular language-learning application in the world, with over 500 million users and over half a billion exercises completed daily. Beyond our core learning product, we have also entered into literacy with Duolingo ABC and English proficiency testing with the Duolingo English Test.

We are passionate about educating our users, making fact-based decisions, and finding innovative solutions to complex problems. We offer meaningful work, limitless learning opportunities, and collaboration with world-class minds. Come brighten your life and over half a billion more!

Job Description

As a Data Scientist, you will work closely with product and engineering teams to become a subject-matter expert in user dynamics at Duolingo. Specifically, you will focus on detecting, explaining and actioning against behavioral shifts within our complex, fast-changing business using massive datasets. Your superpower is the ability to translate business questions into code, and data analysis or statistical models back into decisions.

More information on our University Programs can be found at university.duolingo.com

What you’ll do...

  • Derive insights from data to influence product roadmaps and drive business results
  • Apply advanced analytical methods to model user behavior, and collaborate with product and engineering teams to develop solutions
  • Evaluate product experiments to create and improve user experiences
  • Develop dashboards, reports, and/or forecasts
  • Ensure the quality of our tracking and data collection
  • Help preserve our culture of fact-based decision making as we scale

What we’re looking for…

  • Strong understanding of consumer digital products and an interest in applying advanced analytics to business outcomes
  • Pursuing a BS or MS degree in a quantitative field (e.g., statistics, economics, computer science, computational psychology) with expected graduation in the Spring of 2023 (or Fall 2022)
  • Previous experience analyzing large datasets and communicating results
  • Skilled in SQL, R, Python, and/or statistical methods to analyze behavioral data
  • Excellent presentation and communication skills
  • Able to relocate to Pittsburgh, PA

Exceptional Candidates...

  • Experience with "big data" and cloud computing technologies like Redshift, Hadoop, Hive, BigQuery
  • Experience articulating business questions and using available data to find answers that translate into product recommendations
  • Self-starter, with a desire both to learn new techniques and guide others
  • Programming experience in Java or Scala is a plus

Why you’ll love working here…

  • Language learning opportunities
  • Catered in-house lunches, and breakfast and dinner options
  • Company-wide Hackathon
  • PTO and company holidays
  • Frequent company-wide dinners, monthly celebrations, social clubs, and so much more!

We will do everything we can within reason to make sure that your interview takes place in an environment that fairly and accurately assesses your skills. If you need assistance or accommodation, please contact your recruiter.

We aim to return to office, and as such are requiring all employees to be fully vaccinated against COVID-19 and have received any booster doses as recommended by the Centers for Disease Control and Prevention.

Take a peek at how we care for our employees' holistic well-being with our benefits here.

Job Summary

JOB TYPE

Intern

INDUSTRY

Business Services

POST DATE

09/09/2022

EXPIRATION DATE

10/04/2022

WEBSITE

duolingo.com

HEADQUARTERS

PITTSBURGH, PA

SIZE

200 - 500

FOUNDED

2011

TYPE

Public

CEO

LUIS VON AHN

REVENUE

$50M - $200M

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About Duolingo

Duolingo is an E-learning platform that offers language learning solutions for individuals.

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The following is the career advancement route for Data Scientist, Intern positions, which can be used as a reference in future career path planning. As a Data Scientist, Intern, it can be promoted into senior positions as a Data Scientist IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Data Scientist, Intern. You can explore the career advancement for a Data Scientist, Intern below and select your interested title to get hiring information.

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If you are interested in becoming a Data Scientist, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Data Scientist for your reference.

Step 1: Understand the job description and responsibilities of an Accountant.

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Data scientists work closely with business stakeholders to understand their goals and determine how data can be used to achieve those goals.

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A data scientist develops software to structure the raw data.

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Data scientist will need to meet with their business stakeholders early and often to ensure that they are on the same page about the goals and deliverables of the project.

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Data scientists may spend some of their time working on ad hoc data requests, but these types of requests should only take up a small portion of their time.

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Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.

Career tips from people on Data Scientist jobs

Analyzing data from multiple angles and searching for trends that could reveal problems or opportunities.

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Data scientists lay a solid foundation to help perform all kinds of analysis.

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Data scientists are also expected to have stronger software engineering skills that data analysts.

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Business analysts are focused on reporting, just like data analysts.

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A data scientist should understand the assumptions that need to be met for each statistical test.

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Step 3: View the best colleges and universities for Data Scientist.

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