Data Scientist (SQL, Feature Engineering, Data Visualization, Business Insights) – No Agencies

We are building a new Data Science pod and looking for a Data Scientist to work closely with our Machine Learning Engineer. Together, you’ll form the foundation of our data-driven strategy, focused on arbitrage, user acquisition, and marketing automation systems. This role goes beyond reporting — you’ll be a key partner to developers, helping with exploration, feature engineering, and prompt engineering, while monitoring the impact of changes in the system (performance). You’ll bridge the gap between stakeholders, clients, and the technical team, ensuring that insights translate into measurable business impact. • * Responsibilities - Perform exploratory data analysis (EDA) and uncover actionable insights - Support developers and ML engineers with feature engineering and prompt engineering - Define and monitor optimization strategies for user acquisition workflows - Maintain dashboards, reports, and SQL queries to track KPIs - Monitor performance to evaluate the impact of system changes - Communicate insights clearly to technical and non-technical stakeholders • * Required Skills - Strong SQL and data querying - Statistics and analytical methods - Data visualization (Tableau, Power BI, or similar) - Experience working with large datasets - Knowledge of content arbitrage (media buying) - Excellent communication skills • * Nice-to-Have - Python for light scripting - Familiarity with arbitrage/adtech systems - Exposure to ML workflows - Web3 and peer-to-peer systems knowledge • * Availability - 6 AM – 10 AM EST required - Often extended until 12 PM EST - Occasional meetings as late as 3 PM EST - Flexibility is essential • * Compensation - Monthly salary, depending on experience and fit - Performance-based bonus opportunities This is a full-time, remote role where you’ll help shape how data drives strategy and optimization across the organization. Apply tot his job Apply tot his job