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Data Scientist

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Duolingo

3d ago

  • Job
    Full-time
    Junior Level
  • Data
    Research & Development
  • Pittsburgh

AI generated summary

  • You need a relevant degree, 1-2 years in data science, advanced SQL and visualization skills, experience with A/B testing, programming knowledge, and strong communication abilities.
  • You will analyze data to influence product decisions, design experiments with teams, model user behavior, build dashboards, and ensure high-quality data tracking and collection.

Requirements

  • Bachelor’s degree in a relevant field (e.g., Data Science, Economics, Business Analytics, Information Systems)
  • 1-2 years of experience in data science, advanced data analytics, business intelligence, or related role
  • Advanced SQL skills to build datasets that enable ad-hoc analyses and efficient visualization
  • Expertise in data visualization tools such as Sigma, Tableau, Hex, or Looker for full-stack data analysis, insight synthesis, and presentation
  • Professional or academic experience with experimentation, A/B testing, and/or causal inference
  • Experience in programming (e.g., Python, R) to extract, transform, clean, and analyze large amounts of data
  • Outstanding problem-solving abilities and the capacity to distill complex data into concise explanations and actionable insights
  • Excellent verbal and written communication skills that facilitate collaboration with both technical and non-technical partners
  • Ability to relocate to and work in our New York or Pittsburgh office
  • Master's degree in data science, economics, statistics, or an equivalent quantitative field
  • Experience analyzing financial, subscription or monetization-related data
  • Experience training machine learning models and deploying them in production
  • Experience at a high-growth company that has undertaken an IPO
  • An impressive Duolingo XP or streak!

Responsibilities

  • Derive insights from data to influence product roadmaps and drive business results
  • Embed in teams with product managers and engineers to design, run, and analyze experiments to improve user experiences
  • Apply advanced analytical methods to model user behavior and estimate the impact of potential new features. Partner with product and engineering teams to develop and implement solutions.
  • Build dashboards, reports, and/or forecasts (e.g., Sigma, Tableau, Plotly) to analyze trends, make recommendations, and help preserve our culture of fact-based decision-making as we scale
  • Collaborate with other data scientists to level up our company's scientific capabilities and data footprint
  • Ensure the quality of our tracking and data collection is high (and improving)

FAQs

What is the main focus of the Data Scientist role at Duolingo?

The main focus is on Monetization data modeling and insights, analyzing how product changes impact business performance metrics.

What qualifications are required for the Data Scientist position?

A Bachelor's degree in a relevant field such as Data Science, Economics, Business Analytics, or Information Systems, along with 1-2 years of experience in data science or a related role.

What technical skills are necessary for this role?

Advanced SQL skills for dataset building, expertise in data visualization tools like Sigma or Tableau, experience in programming languages such as Python or R, and familiarity with experimentation and A/B testing.

Is previous experience in monetization data analysis preferred?

Yes, experience analyzing financial, subscription, or monetization-related data is considered exceptional for candidates.

What type of work environment can I expect?

You can expect a collaborative work environment, working closely with product managers, engineers, and other data scientists to drive impactful changes based on empirical insights.

Is there an opportunity for career advancement in this role?

Yes, there are limitless learning opportunities and the potential for career advancement through collaboration and skill enhancement within the company.

What are the expectations for communication skills in this position?

Excellent verbal and written communication skills are essential, as the role involves collaboration with both technical and non-technical partners.

Are there any specific benefits associated with this role?

Yes, Duolingo offers a portfolio of world-class benefits to support employees' holistic well-being, which you can explore further during the hiring process.

What is the salary range for the Data Scientist position?

The salary range for the Data Scientist position is between $144,500 and $235,750 USD, depending on various factors such as skills and experience.

Do I need to be located in a specific city for this role?

Yes, candidates must be able to relocate to and work in either the New York or Pittsburgh office.

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Duolingo

Duolingo is the world's most popular way to learn a language.

Technology
Industry
501-1000
Employees
2011
Founded Year

Mission & Purpose

Duolingo is the world’s most popular way to learn a language. Our mission is to develop the best education in the world and make it universally available. Founded in 2011 by Luis von Ahn and Severin Hacker, Duolingo is the most downloaded education app in the history of the App Store and in 2019 became the top-grossing education app worldwide. The app has been awarded Apple's iPhone App of the Year and Android's Best of the Best. Learning a new language used to be expensive; we believe it should be free. Over 1.2 billion people are learning a second language and most of them are learning English to improve their lives. Learning a new language is hard; we believe it can be fun. We use bite-sized lessons that feel like playing a game to keep our learners motivated. With over 500 million learners we have unprecedented data insights on how people learn. Our teams of language learning scientists, machine learning engineers, and AI experts use this data to constantly improve our effectiveness. We’re building a future in which the highest-quality education is accessible to all. Duolingo has raised US $138 million from investors including Union Square Ventures, Capital G (formerly Google Capital), NewView Capital, Kleiner Perkins Caufield & Byers, Drive Capital, Ashton Kutcher and Tim Ferriss.