Data Scientist, Analytics

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

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!

Analytics specialists on the Data Science team build the data foundation for reporting, analysis, experimentation, and machine learning at Duolingo. We are looking for someone with expertise in metric development, data modeling, SQL, and Python. Using these tools, you will transform raw data into an analytics layer that powers decision-making at the company (e.g. metrics, dashboards, tables).

You will partner with data scientists, platform engineers, product managers, and business leads to architect new data models, audit logging schemas, build metrics, and work with orchestration frameworks like Airflow or Cloud Composer. The data models and metrics you build will help us understand how Duolingo’s unique content and gamification features make learning accessible and fun.

You will...

• Develop and improve standardized metrics to understand user behavior
• Build new data pipelines to power these metrics by navigating complex schemas and large data sets
• Create intuitive visualizations and dashboards with an eye towards useful insights
• Monitor topline trends to inform and shape team roadmap
• Create and contribute to a documentation-first data culture

You have...

• Bachelor's degree in a quantitative field or commensurate work experience
• 2+ years of relevant industry experience
• Passion for high data quality and scaling data science work
• Advanced SQL and familiarity with ETL/ETLT in a cloud-based data warehousing environment (Bigquery, Snowflake, Redshift, etc)
• Proficient with an object-oriented programming language, preferably Python
• Ability to conduct simple statistical analysis to inform business decisions
• Strong communication, documentation and data visualization skills

Exceptional candidates will have...

• Experience with dbt and 3rd party BI tools (Looker, Tableau, Superset, etc)
• Experience with an ETL framework like Airflow or Cloud Composer
• An eye for design when it comes to dashboards and visualization tools
• Familiarity with experimentation and machine learning techniques

Why you’ll love working here…

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