Data Scientist, Intern
Pittsburgh, PA
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!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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Big Data BigQuery Computer Science Data analysis Economics Engineering Hadoop Python R Redshift Scala SQL Statistics Testing
Perks/benefits: Career development Lunch / meals
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Business Intelligence Engineer jobs
- Open Lead Data Analyst jobs
- Open MLOps Engineer jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Engineer II jobs
- Open Sr Data Engineer jobs
- Open Data Manager jobs
- Open Data Analytics Engineer jobs
- Open Principal Data Engineer jobs
- Open Power BI Developer jobs
- Open Junior Data Scientist jobs
- Open Business Intelligence Developer jobs
- Open Product Data Analyst jobs
- Open Senior Data Architect jobs
- Open Data Scientist II jobs
- Open Sr. Data Scientist jobs
- Open Manager, Data Engineering jobs
- Open Business Data Analyst jobs
- Open Big Data Engineer jobs
- Open Data Quality Analyst jobs
- Open Data Analyst Intern jobs
- Open Principal Data Scientist jobs
- Open Data Product Manager jobs
- Open ETL Developer jobs
- Open Junior Data Engineer jobs
- Open Data quality-related jobs
- Open Business Intelligence-related jobs
- Open GCP-related jobs
- Open ML models-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open Java-related jobs
- Open Finance-related jobs
- Open Data visualization-related jobs
- Open APIs-related jobs
- Open Deep Learning-related jobs
- Open PyTorch-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open TensorFlow-related jobs
- Open PhD-related jobs
- Open CI/CD-related jobs
- Open NLP-related jobs
- Open Data governance-related jobs
- Open Kubernetes-related jobs
- Open Airflow-related jobs
- Open Hadoop-related jobs
- Open Databricks-related jobs
- Open LLMs-related jobs
- Open Data warehouse-related jobs