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About the Role
This role involves embedding with product development teams to enhance product iteration and experimentation through data science and machine learning. The ideal candidate will possess strong technical skills, excellent communication, and a keen product sense to drive data-driven decision-making and deliver scalable data products.
Responsibilities
- Embed within one or more product development teams, building strong stakeholder connections and delivering data products and analyses that move team outcomes.
- Collaborate across functional boundaries with Product Management, Engineering, Design, Marketing, and Finance across every phase of product development.
- Own the prioritization and ROI assessment of Data Science opportunities within your area.
- Translate complex findings into clear narratives for leadership and cross-functional partners, influencing strategic decisions through technical depth and effective communication.
- Contribute to the analytical foundations within Growth, developing definitions, methodological guidelines, and self-serve dashboards that enable others to operate with data fluency.
- Mentor and learn from other Data Scientists both within the Growth pillar and across the company.
Requirements
- Experience working as a Data Scientist embedded with or supporting a product development team, creating value from data in real-world settings.
- Exceptional communication skills, both written and verbal, with the ability to distill complex quantitative work into crisp, actionable insights for diverse audiences.
- A graduate degree in Data Science, Statistics, Economics, or a related quantitative field, or equivalent demonstrated expertise in formal analysis methodology.
- Strong command of SQL, Python or R, AI tools, and data/analytics engineering ecosystems.
- Fluency with standard machine learning and predictive modeling techniques.
Skills
- Data Science
- Machine Learning
- Communication
- Product Sense
- Data Analysis
- SQL
- Python
- R
- AI tools
- Data/analytics engineering ecosystems
- Machine learning techniques
- Predictive modeling techniques
Location
- Remote
Work Type
- Full-time
Experience Level
- Mid-level
- Senior
Education Level
- Graduate degree in Data Science, Statistics, Economics, or a related quantitative field, or equivalent demonstrated expertise
Salary/Compensations
- $182,800—$247,300 USD
Benefits
- Equity compensation
- Holistic well-being benefits
About the Company
- Duolingo's mission is to develop the best education in the world and make it universally available.
- At Duolingo, you’ll join a team that cares about educating users, experimenting with big ideas, making fact-based decisions, and finding innovative solutions to complex problems.
- The company offers limitless learning opportunities and daily collaborations with world-class minds, doing work that's both meaningful and fun.
- Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world.
Equal Opportunity
- Duolingo is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.