Senior Data Scientist (Product Growth)

Location: Remote-first; most roles are remote in-country, with some remote within a region. Occasional travel may be required for onboarding and team gatherings.

Company

hirify.global develops a technically complex developer platform for building and operating durable, cloud-native applications.

What you will do

• Partner with Product, Design, Engineering, Marketing, Sales, Finance, and Data teams to shape product strategy, proposals, and experiments.
• Build analytical frameworks covering acquisition, activation, engagement, adoption, expansion, monetization, and durability.
• Use funnel, cohort, journey, sequence, segmentation, and predictive analyses to identify friction and opportunities.
• Identify behavioral signals and milestones that predict conversion, production readiness, expansion, churn, and long-term customer success.
• Design and evaluate product experiments using matched comparisons, pre/post analysis, causal methods, and uncertainty measurement.
• Build reusable datasets, metrics, dashboards, models, and analytical tools while improving event instrumentation and data quality.

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 analyzing small samples, noisy signals, imperfect control groups, or situations where standard A/B testing is not practical.
• Proficiency in SQL and Python, with experience in cohort analysis, funnel analysis, segmentation, predictive modeling, and machine-learning methods.
• Experience with modern data platforms and query engines such as Athena, Presto/Trino, BigQuery, or Snowflake, plus cloud and object-store technologies such as AWS S3.
• Strong communication skills and the ability to explain methods, uncertainty, and recommendations to technical and non-technical audiences.

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

• Remote-first working model with remote-in-country and regional remote arrangements depending on the role.
• Occasional travel for onboarding and team gatherings.
• Competitive benefits, equity, flexible time off, and support for learning, wellness, and a home office.
• Collaborative work across Product, Engineering, Marketing, Sales, Finance, and Data.