Analyst, Commercial Analytics & Data Science (Marketing)

TL;DR

Analyst, Commercial Analytics & Data Science (Marketing): Supporting the Commercial Analytics team with machine learning and forecasting initiatives to optimize marketing strategies and subscriber outcomes. Focus on developing data products, implementing A/B tests, and building automated monitoring systems for model performance.

Location: Must be based in New York, NY (Hybrid). Must have legal right to work in the U.S.

Salary: $75,000–$95,900

Company

hirify.global is a leading North American audio entertainment company providing subscription and ad-supported audio products across satellite radio, streaming, and podcast platforms.

What you will do

• Implement A/B tests and generate data-driven insights to optimize business performance.
• Assist in the development of machine learning models and data products for marketing decision-making.
• Query databases to extract data and provide actionable insights.
• Build automated monitoring systems, dashboards, and alerts for model scoring and runtime.
• Collaborate with Data Engineering and MarTech teams to troubleshoot production issues.
• Integrate new data sources and design pipelines for feature engineering.

Requirements

• Must be a recent graduate from an accredited HBCU (within the last 2 years or graduating by June 2026).
• Must have legal right to work in the U.S.
• Proficiency in SQL and Python.
• Understanding of machine learning concepts (preprocessing, feature engineering, training models) and supervised learning algorithms (Logistic Regression, XGBoost).
• Familiarity with data visualization tools (Tableau, Power BI, or Databricks Apps) and version control (Git/Bitbucket).
• Strong interest in marketing analytics and excellent communication skills.

Culture & Benefits

• Participation in the year-long Pathways Program for early-career development.
• Mentorship, networking, and professional learning opportunities.
• Collaborative environment focused on audio entertainment technology.
• Eligibility for discretionary short-term and long-term incentives.