Senior Data Scientist (Product)

TL;DR

Senior Data Scientist (Product): Proactively exploring data to identify customer problems and product opportunities, translating ambiguous business questions into clear analyses and recommendations with an accent on designing, building, and shipping production-grade predictive and descriptive models. Focus on influencing product direction through data-backed proposals and defining statistical approaches for experimentation and forecasting.

Location: Remote (Global)

Salary: $208,000

Company

hirify.global is a remote-first company building a monetization platform for mobile in-app subscriptions, processing over $10B in annual purchase volume and serving 40% of newly shipped subscription apps.

What you will do

• Proactively explore hirify.global’s data to identify customer problems, opportunities, and product bets.
• Translate ambiguous product and business problems into clear analyses, models, and recommendations.
• Partner with Product Managers to shape roadmaps and drive product decisions.
• Design, build, and ship production-grade predictive and descriptive models for customer-facing features.
• Define and evaluate statistical approaches for experimentation, benchmarking, and forecasting.
• Communicate insights clearly and persuasively to technical and non-technical audiences.

Requirements

• 5+ years of experience working as a Data Scientist.
• Strong SQL skills and comfort with data modeling.
• Experience building and deploying predictive and descriptive models in production.
• Experience writing or collaborating on production-ready Python code.
• A solid understanding of statistics and experimentation, including Bayesian approaches.
• Ability to clearly explain complex ideas and results to broad audiences.

Culture & Benefits

• Competitive equity in a fast-growing, Series C startup backed by Y Combinator.
• 10-year window to exercise vested equity options.
• Fully remote and flexible work environment.
• 4-5 weeks of suggested time off annually for recharge.
• $2,000 USD for workspace setup and $1,000 USD annual stipend for continuous learning.