Sr. Manager Data Science (Growth)

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!

As a Data Scientist, you’ll generate insights that guide product development for 500 millions learners worldwide. Your role will focus on analyzing user retention and engagement in our flagship learning app, with a focus on Duolingo’s unique social and gamification features that make learning fun.

You will:

• Work closely with heads of product and engineering to lead data science efforts related to retention, engagement, social, and gamification features
• Leverage a wide range of analytical/statistical methodologies to enable product development decisions
• Collaborate with data scientists and product managers launching hundreds of experiments each quarter
• Continuously identify best-in-class methodologies and innovative solutions to improve and grow the data science practice at Duolingo
• Manage cross-functional relationships to prioritize and resource all data science projects touching the engagement area
• Own dashboards, reports, and codebase related to engagement and retention
• Ensure the integrity of our tracking and data

You have:

• 5+ years of data science experience, particularly with digital consumer products with millions of users
• BA/BS in a quantitative field (e.g.: statistics, economics, computer science) or commensurate work experience at a high-growth start-up or top technology company
• Expert-level skills in SQL, R/Python, and statistical methods to analyze and model behavioral data
• Strong relationship management and executive presentation skills
• Ability to extract insights from messy, ambiguous datasets to inform product development decisions
• Ability to translate complex models/analysis into insights that are accessible to non-technical stakeholders, and prioritize work based on highest business impact vs technical complexity

Exceptional candidates will have:

• MS or PhD degree in a quantitative field (e.g.: statistics, economics, computer science)
• Applied experience with -big data- technologies (e.g. BigQuery, Redshift, Hadoop), analysis of complex experiments, and statistical modeling using very large datasets (clustering, predictive modeling, etc).
• Experience with freemium business models, and/or products that achieve user growth through word of mouth
• Experience articulating business questions and using available data to find answers that translate into business recommendations
• Ability to thrive in a high-growth environment
• Demonstrated self-direction, with a desire both to learn new techniques and teach others
• Comfortable working in a fast-paced environment with imperfect datasets
• Programming experience in Java or Scala a plus