Senior Data Scientist (AI)

TL;DR

Senior Data Scientist (AI): Building and owning the data science discipline within Decision Intelligence with an accent on statistical modeling, forecasting, and experimentation design. Focus on delivering actionable insights and strategic recommendations across Finance, GTM, and Product, while scaling repeatable models within the hirify.global Decision Engine.

Location: Paris

Salary: €74,382 – €82,212

Company

hirify.global is building a unified AI agent that sells, supports, and re-engages customers across the entire journey, leading the shift to Conversational Commerce.

What you will do

• Define and evolve the data science strategy and roadmap in partnership with the VP of Decision Intelligence.
• Own model improvement to forecasting for Finance, including revenue forecasting, churn prediction, and scenario planning.
• Mature audience segmentation and customer profiling for GTM, enabling more targeted and effective go-to-market motions.
• Support retention and expansion intelligence, including improving churn risk models and identifying expansion opportunities.
• Develop and scale experimentation frameworks and A/B testing methodologies.
• Partner with the Data Engineering team to productionalize models within the hirify.global Decision Engine.

Requirements

• 5+ years of hands-on experience in data science or a related quantitative field, with strong proficiency in Python and SQL.
• Deep experience with statistical modeling, forecasting, segmentation, and experimentation design.
• Strong IC who is hungry to grow by building something from the ground up.
• Strong communicator who can translate complex analysis into clear, actionable recommendations for both technical and non-technical stakeholders.
• Comfortable working across domains (Finance, GTM, Product) and switching context frequently.
• Excited about AI and how it intersects with data science.

Nice to have

• Experience in SaaS, B2B, or e-commerce environments.
• Familiarity with dbt, BigQuery, or modern analytics engineering workflows.
• Prior experience building a data science function or being the first/early data scientist at a company.

Culture & Benefits

• 5-week vacation plus 2 weeks RTT.
• Paid sick leave.
• Paid parental leave (16 weeks).
• Personal credit card to buy lunches.
• Private health insurance.
• Learning material and wellness support budget.