Our mission at Duolingo is to develop the best education in the world and make it universally available.
This person will embed with one or more product development teams, working collaboratively and cross-functionally to increase the impact of product iteration and experimentation.
You will:
- 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.
- 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.
You have:
- Experience working as a Data Scientist embedded with or supporting a product development team.
- 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.
Exceptional candidates will have:
- Experience operating at a high-growth, data-intensive consumer technology company, particularly in the user growth area.
- Experience building, maintaining, and improving production machine learning models and the infrastructure that supports them.
The offered salary is dependent upon several factors, including work experience, skills, and internal peer comparisons.
Salary Range: $182,800-$247,300 USD
