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 Now
Apply Now