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Confirmed Pakistan eligible
RemoteFull-time

Senior Data Scientist

RemotePosted 27 Oct 2026Last verified 9 Nov 2026

Why this is on RoleRasta

Verified 9 Nov 2026

The posting does not contain a country restriction that excludes Pakistan.

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Job description

the employer [link available with access] employer.com is on a mission to connect the world to the freedom of open markets. Tens of millions of people all over the world use the employer to access global markets that never close, including perpetuals, prediction markets, tokenized assets, stablecoins and memes. the employer users are able to discover the markets that matter and the cultural moments that shape them, building conviction through real-time data and the verified performance of top traders. With self-custody and access to open networks at its core, the employer lets them control their financial moves in the same app they use to safely store or spend money worldwide. the employer has reached #1 in Google Play's finance category and consistently ranks in the top 50 apps across all categories. Check out our Forbes Fintech 50 [link available with access] employers-battle-plan-to-win-the-crypto-fueled-superapp-war/ and CNBC and Statista's World's Top Fintech Companies 2026 [link available with access] We are around 180 people, fully remote, backed by a $150M Series C investment from a16z, Sequoia Capital and Paradigm. RESPONSIBILITIES As a Data Scientist at the employer, you’ll help shape our consumer products through rigorous analysis, experimentation, and reliable data. You’ll work closely with Product, Engineering, Design, and Growth to understand user behavior, identify opportunities, and guide product decisions. - Analyze user journeys, activation, engagement, retention, and monetization to identify opportunities and recommend product improvements. - Design and evaluate A/B tests, including hypotheses, success metrics, guardrails, sample sizing, and interpretation. Communicate uncertainty and distinguish observed relationships from causal effects. - Define and maintain product metrics, and partner with Engineering to improve instrumentation and validate the data behind them. - Build reusable analytical datasets and dbt models using …

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