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Data scientist (españa)

Reach Capital
Publicada el 15 mayo
Descripción

Lingokids is on a mission to help families raise amazing kids through Playlearning™. Ready to join us on this exciting journey?
Lingokids is a integral leader in educational technology, helping over 185 million families worldwide raise amazing kids through Playlearning™ ,our unique approach that blends education with play. Our mission is to empower children with modern learning experiences, combining educational subjects with essential life skills to help them grow into confident, conscious, and resilient lifelong learners.
Beyond our award-winning app, we’ve built a multi-platform educational universe, including our “Baby Bot” and “Baby Bot’s Backyard Tales” shows, Podcasts, and Music Publishing. Our content, developed in collaboration with top education experts and Oxford Press University, ensures an engaging, high-quality learning experience in a safe, ad-free environment. This dedication to excellence has earned Lingokids multiple industry awards across app, podcast, and video categories, including Best Original Learning App by Kidscreen Awards, National Parenting Product Awards by NAPPA Awards, and Best Parenting Product by Good Housekeeping, among many others
As a Data Scientist on the Product Engagement team, your mission is to push our recommendation and personalization capabilities further by solving the complex statistical and methodological problems that sit beyond standard analytics. Where the analyst maps the user journey and identifies opportunities, you are the person who figures out how to act on them at scale - designing the statistical frameworks, causal models, and experimentation strategies that turn behavioral insights into smarter, more effective personalization. You thrive on hard problems, bring rigorous thinking, and are equally comfortable working with product managers and with ML engineers.
What you'll do
- Advance our recommendation and personalization logic by designing and validating new statistical approaches - from improved segmentati

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