Sr. Analyst, Product Analytics

TL;DR

Sr. Analyst, Product Analytics (Machine Learning/Experimentation): Designing and scaling product analytics strategies for hirify.global through segmentation, experimentation, causal measurement, and monetization analysis with an accent on large-scale testing, user behavior modeling, and data-driven optimization. Focus on building complex test structures, mitigating statistical validity threats, and analyzing high-volume datasets with Python, R, SQL, and cloud data platforms.

Location: San Mateo, California, United States. Telecommuting or working from home may be permissible under company policies.

Salary: $175,013–$248,900 per year

Company

hirify.global is the gaming and interactive entertainment brand of Sony Interactive Entertainment, delivering hardware, network services, and digital experiences to more than 100 million people.

What you will do

• Plan and roll out large-scale testing strategies, including segmentation, global holdouts, longitudinal studies, A/B tests, multivariate tests, and Bayesian experiments.
• Build machine learning models for user segmentation, behavior prediction, and fraud detection.
• Design multi-dimensional experiments, interpret results across user segments, and address validity threats such as sample ratio mismatch, contamination, and multiple exposure.
• Measure causal impact and competitor effects using quasi-experimental and time-series methods.
• Develop dashboards and integrate ETL processes, data pipelines, metric validation, and experimentation infrastructure.
• Analyze customer journeys, conversions, payments, retention, churn, and marketing ROI to support product, marketing, and revenue decisions.

Requirements

• Master’s degree in Business Analytics or a related field, or equivalent experience.
• Three years of experience developing and deploying machine learning models for segmentation, behavior prediction, or fraud detection.
• Experience with Random Forest, Gradient Boosted Trees, XGBoost, Logistic Regression, K-Means, DBSCAN, Latent Class Analysis, and association rule mining.
• Strong knowledge of experimentation, causal inference, time-series analysis, sampling methods, and CUPED adjustment.
• Proficiency in Python, R, SQL, Tableau or DOMO, Adobe Analytics, Customer Journey Analytics, and cloud-based data platforms.
• Employment is based in the United States, with the primary location in San Mateo, California.

Culture & Benefits

• Opportunity to work on the hirify.global brand and large-scale digital entertainment products.
• Telecommuting and working from home may be available under company policy.
• Inclusive workplace committed to equal opportunity, diversity, and employee empowerment.
• Background checks are conducted at the offer stage for new employees.