Data Scientist – Analytics (AdTech)

Location: Palo Alto, California, United States

Salary: $120,000–$180,000 USD annually

Company

hirify.global provides end-to-end advertising technologies that help businesses reach, monetize, and grow global audiences.

What you will do

• Build and maintain dashboards, monitoring systems, automated reporting, and scalable analytics pipelines.
• Define and refine KPIs, surface key metrics, detect anomalies, and support timely issue diagnosis.
• Analyze petabyte-scale datasets and high-velocity data streams to identify trends, root causes, and growth opportunities.
• Evaluate model performance, including stability, calibration, and long-term health, in partnership with engineering and research science teams.
• Support A/B test design, metric computation, statistical analysis, and interpretation of results.
• Translate analytical needs from product and business stakeholders into actionable solutions and communicate insights to technical and non-technical audiences.

Requirements

• Bachelor’s degree in data science, statistics, computer science, mathematics, economics, engineering, or another quantitative discipline.
• Basic understanding of core statistical concepts and introductory modeling techniques.
• 0–3 years of experience in data analytics or data science, including internships or projects.
• Proficiency with SQL and at least one analytical programming language, preferably Python.
• Ability to work with large datasets, develop analytical frameworks, and translate findings into recommendations.
• Curiosity, proactive problem-solving, and the ability to learn quickly.

Nice to have

• Master’s degree in data science or a related quantitative discipline.
• Experience with Looker, Tableau, Superset, Metabase, or similar BI tools.
• Familiarity with BigQuery, Snowflake, Airflow, A/B testing, experiment design, or statistical evaluation.
• Understanding of digital advertising, performance marketing metrics, or online marketplace dynamics.

Culture & Benefits

• Hands-on experience with production analytics, monitoring systems, and model evaluation.
• Opportunities to build foundational infrastructure that scales across teams.
• Exposure to high-scale data challenges and real-world ML performance considerations.
• Equity eligibility and performance-based total compensation.
• Medical, dental, vision, life, and disability insurance; 401(k) retirement plan.
• Unlimited discretionary time off, 10 paid holidays per year, and 80 hours of paid sick leave.

Hiring process

• Apply online.
• The application window is expected to close within 30 days of the posting date.