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Duolingo · Posted 3w ago

Senior Data Scientist (User Growth)

$182.8–247.3K/yrSenior

Job relayed by Stapply Data, its source: you apply there.

Location
🇺🇸 Pittsburgh, United States
Contract
Full-time
Role
Data science
Source
Stapply Data

Stack

The posting

Join Duolingo as a Senior Data Scientist focused on User Growth. In this role, you will embed with product development teams, collaborate across functional boundaries, and own the prioritization and ROI assessment of data science opportunities. You will also contribute to the analytical foundations within Growth and mentor other data scientists. Enjoy a range of benefits including medical, dental, and vision coverage, mental health support, paid parental leave, a 401(k) with generous match, and more.

- Collaborer avec les équipes de développement de produits pour augmenter l'impact des itérations et des expérimentations de produits. - Posséder la priorisation et l'évaluation du retour sur investissement des opportunités en science des données dans votre domaine. - Contribuer aux fondations analytiques au sein de la croissance, en développant des définitions, des lignes directrices méthodologiques et des tableaux de bord en libre-service.

- The ideal candidate combines deep technical fluency in data science and machine learning with exceptional communication skills and an acute product sense - They can identify the right questions to ask, use data analysis to create clarity in decision making, and deliver scalable data products and models as the situation demands - Fluency with standard machine learning and predictive modeling techniques - 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 - Experience working as a Data Scientist embedded with or supporting a product development team. You have experience creating value from data in messy real-world settings - Strong command of SQL, Python or R, AI tools, and data/analytics engineering ecosystems - Experience building, maintaining, and improving production machine learning models and the infrastructure that supports them - Experience operating at a high-growth, data-intensive consumer technology company, particularly in the user growth area - An impressive Duolingo streak