Senior Data Scientist, Lingokids

• If you want to be part of a team that's redefining the future of education, we’d love to hear from you!
• Toolkit of analytical techniques (SQL, Python or R) to build insight and give recommendations - Expert SQL is a must, good knowledge of Looker is a plus
• Strategic Mindset: Ability to interpret data and provide strategic recommendations, especially when data is incomplete or ambiguous
• Can work through the E2E cycle: Business problem definition, data extraction, analysis, interpretation and summarizing data through presentations and visualizations. Also whenever needed, able to improve data pipeline, creating tools,
• Proven working experience in mobile app and/or subscription model
• Hands on experience working at a fast pace working in a startup environment with data savvy stakeholders
• Hands-on with mobile UA data (SKAdNetwork, MMP postbacks, or Amplitude event streams). Proven media-mix or publisher-level optimization
• Able to build a comprehensive marketing understanding: spend, efficiency, incrementally and attribution
• English is a must: We’re a multicultural team providing a service in English, so while certifications aren’t necessary, fluency is essential. As a fully remote company, clear and effective spoken and written communication—especially in asynchronous, long-form formats—is key to collaborating successfully

Desirable

• We’re looking for a Senior Data Scientist (Business & Marketing) who thrives in fast-paced environments, is comfortable making decisions with imperfect data, and is passionate about driving growth through actionable insights
• This role is perfect for someone who enjoys diving into the "why" behind the numbers
• You’ll own deep-dive channel & publisher analytics, drive real understanding of what works and doesn’t, and build self-serve tools that push a data-literate growth team from “good” to “world-class.” Working within a Data Scientists, Data Engineers and Analysts team, you will collaborate closely with stakeholders such as the CMO and Director of User Acquisition
• Channel & Publisher Analytics – Mine campaign data to surface ROI tiers for channels publishers, creatives and audience; recommend budget reallocations
• Predictive Modeling – Build Python/DBT pipelines that score users on day-0 signals for bid-modifier feeds
• Performance Deep Dive - Get into the detail of what is driving marketing performance, giving advice on what needs to change
• Self-Serve Tooling – Building data pipelines, reporting and notebooks that make it easy for your stakeholders to make decisions
• Stakeholder Storytelling – Distill complex findings into crisp, visual narratives for weekly Growth Council

• We usually respond within a week