Embedded Senior Data Scientist - Product & Growth
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IT/Tech
Machine Learning/ ML Engineer, Data Scientist, Data Analyst, AI Engineer (Applied/Software)
Job Description & How to Apply Below
Duolingo is the world's most popular learning app, on a mission to develop the best education in the world and make it universally available. We rely on data-driven experimentation and Machine Learning to continuously improve learning efficacy and user engagement for over half a billion learners globally.
As a Staff Data Scientist on the Growth Data Science team
, you will embed directly within one or more cross-functional product development teams. Combining deep technical fluency in data science, machine learning, and quantitative experimentation with acute product intuition, you will identify high-leverage growth opportunities, design robust A/B experiments, build predictive ML models, and translate complex data findings into actionable narratives that guide executive decision-making.
- Embedded Product Analytics: Embed directly within product pods (working alongside Product Managers, Engineers, Designers, and Marketers) to formulate growth hypotheses, prioritize data science investments, and optimize user journeys.
- Predictive ML & Data Products: Build, validate, and deploy scalable machine learning models and predictive algorithms to personalize user experiences, predict retention, and improve user acquisition funnels.
- A/B Testing & Experimentation: Own end-to-end experimental design, power calculations, metric definition, and statistical evaluation for high-velocity A/B testing across core product surfaces.
- Analytical Infrastructure & Enablement: Develop standardized analytical definitions, methodological guidelines, self-service dashboards, and data pipelines that elevate data fluency across growth teams.
- Executive Communication: Distill complex quantitative models and statistical findings into crisp, actionable strategic narratives for executive leadership and cross-functional partners.
- Mentorship & Practice Leadership: Mentor junior data scientists and establish analytics best practices across the Growth Pillar and the broader Duolingo Data Science organization.
- Embedded Product Track Record: Demonstrated experience working as a Data Scientist embedded within software product development teams, using data to solve messy real-world user growth challenges.
- Advanced Quantitative Degree: Master’s degree or Ph.D. in Data Science, Statistics, Economics, Applied Mathematics, or a related quantitative field (or equivalent demonstrated expertise).
- Machine Learning Fluency: Practical fluency with standard machine learning algorithms, predictive modeling, regression analysis, classification, and statistical hypothesis testing.
- Modern Data Stack Mastery: Exceptional proficiency in SQL, Python or R, AI analysis tools, and modern data engineering ecosystems (Snowflake, dbt, Airflow).
- Executive Communication
Skills:
Outstanding written and verbal communication skills with a proven track record of translating complex analytical outputs into crisp business recommendations.
- Passion for Duolingo's mission to democratize education worldwide.
- Ability to work from or relocate to Duolingo's product hubs in Pittsburgh, PA, New York City, NY, or work remotely within the United States.
- Experience operating within a high-growth consumer technology company
, specifically supporting user acquisition, activation, or retention product pods. - Hands-on experience building, maintaining, and deploying production ML models and real-time inference infrastructure.
- An impressive Duolingo streak!
- Compensation & Equity: Base salary of $182,800 – $247,300 USD supplemented by competitive equity grants.
- Holistic Well-Being: Choice of top-tier health plans with comprehensive medical, dental, and vision coverage for employees and eligible dependents.
- Culture & Perks: Catered in-house breakfast and lunch, language learning perks, bi-annual company hackathons, and active employee social clubs.
- Growth & Flexibility: Dedicated learning stipends, generous paid time off, and flexible remote work options.
Position Requirements
10+ Years work experience(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
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