Data Scientist, Intern

New York, NY

Duolingo

Duolingo is the world's most popular way to learn a language. It's 100% free, fun and science-based. Practice online on duolingo.com or on the apps!

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Our mission at Duolingo is to develop the best education in the world and make it universally available. It’s a big mission, and that’s where you come in!

At Duolingo, you’ll join a team that cares about finding innovative solutions to complex technical problems, running countless experiments (300+ at a time!) with our massive user base to make data-driven decisions, and educating our users and employees alike. You’ll have limitless learning opportunities, mentorship and collaboration with world-class minds, and a variety of projects with large scopes — while doing work that’s both fun and meaningful. 

Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world.

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.

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 Masters degree in a quantitative field (e.g., statistics, economics, computer science, computational psychology) with expected graduation in the Spring of 2025 (or Fall 2024)
  • 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
  • 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.

Duolingo is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

By applying for this position your data will be processed as per the Duolingo Applicant Privacy Notice

We invest in and support our Duos! 

Hourly Range for this internship is:$50—$52 USD
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Category: Data Science Jobs

Tags: Big Data BigQuery Computer Science Data analysis Economics Engineering Hadoop Java Privacy Python R Redshift Scala SQL Statistics

Region: North America
Country: United States

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