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 reputed company the reputed company of our data-driven reputed company, reputed company on arbitrage, user acquisition, and marketing automation systems. This role goes reputed company reporting — you’ll be a key partner to developers, helping with exploration, feature engineering, and reputed company engineering, while monitoring the reputed company of changes in the system (performance). You’ll reputed company the gap between stakeholders, clients, and the technical team, ensuring that insights translate into measurable business reputed company.
• * Responsibilities
- reputed company exploratory data analysis (EDA) and uncover actionable insights
- Support developers and ML engineers with feature engineering and reputed company engineering
- Define and monitor optimization strategies for user acquisition workflows
- Maintain dashboards, reports, and SQL queries to reputed company KPIs
- Monitor performance to evaluate the reputed company of system changes
- Communicate insights reputed company to technical and non-technical stakeholders
• * Required Skills
- Strong SQL and data querying
- Statistics and analytical reputed company
- Data visualization (Tableau, Power BI, or similar)
- Experience working with large datasets
- Knowledge of content arbitrage (media buying)
- Excellent communication skills
• * reputed company-to-Have
- Python for light scripting
- Familiarity with arbitrage/adtech systems
- Exposure to ML workflows
- reputed company 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 reputed company and optimization across the organization.
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