Data Scientist (Product Growth and Experimentation)

Location: United States (Remote)

Salary: $137,600–$220,000 per year, plus equity, depending on geographic tier and experience.

Company

hirify.global Technologies develops a developer platform for technically complex, cloud-based products and usage-based workflows.

What you will do

• Partner with Product, Design, Engineering, Marketing, Sales, Finance, and Data teams as an embedded analytics partner.
• Build analytical frameworks across the product-led growth journey, including acquisition, activation, engagement, adoption, expansion, monetization, and retention.
• Use funnel, cohort, journey, sequence, feature-adoption, and predictive analyses to identify friction and growth opportunities.
• Design and evaluate experiments and product changes using matched comparisons, pre/post analysis, causal methods, and uncertainty measurement.
• Build reusable datasets, metrics, dashboards, models, and analytical tools that reduce ad hoc work and improve decision-making.
• Improve event instrumentation, data quality, and analytical models with Engineering and Data Engineering.

Requirements

• Strong foundation in statistics, experimental design, causal reasoning, and quantitative analysis.
• Experience using product, behavioral, or event data to improve activation, engagement, retention, conversion, or expansion.
• Experience working with small samples, noisy signals, imperfect control groups, or situations where standard A/B testing is not practical.
• Proficiency in SQL and Python for analysis, modeling, and automation.
• Experience with cohort analysis, funnel analysis, segmentation, predictive modeling, and supervised or unsupervised machine learning.
• Experience with modern data platforms and query engines such as Athena, Presto/Trino, BigQuery, or Snowflake, plus cloud storage such as AWS S3.

Nice to have

• Curiosity about developer platforms, cloud infrastructure, usage-based products, and technically complex product adoption.
• Experience building dashboards and reusable analytical assets in a modern business intelligence platform.

Culture & Benefits

• Full-time employment with equity opportunities.
• Collaborative work across Product, Engineering, Marketing, Sales, Finance, and Data.
• Focus on practical recommendations, measurable customer outcomes, and faster learning.
• Equal opportunity employment and reasonable accommodation for individuals with disabilities.