Staff Data Scientist (Selection Analytics)

TL;DR

Staff Data Scientist (Selection Analytics): Developing and deploying production-level ML models and metrics to identify and prioritize high-potential merchants globally with an accent on merchant acquisition insights and cross-market quality tracking. Focus on conducting experiments to measure selection impact, building self-serve tooling, and collaborating with country leadership on growth strategies.

Location: Onsite in Helsinki, Stockholm, or Berlin; remote or hybrid anywhere in Finland, Sweden, or Germany.

Company

hirify.global is a delivery platform for food and retail operating in over 500 cities across 30 countries, now part of DoorDash.

What you will do

• Develop and deploy production-level ML models for merchant prioritization.
• Craft metrics to provide deeper insights into selection quality across markets.
• Conduct experiments to measure the impact of selection strategies on specific markets.
• Build self-serve tooling for tracking insights and metrics.
• Collaborate with country sales teams and leadership to drive growth opportunities.

Requirements

• 3-5 years in data science, consulting, or quantitative role
• Fluent in Python & SQL
• Strong exploratory data analysis skills
• Experience with experimental design (A/B testing) and statistical methods
• Feature engineering, model design, evaluation, diagnostics, and monitoring
• Knowledge of MLOps (e.g., MLflow, Flyte)
• Ability to lead strategic cross-functional projects

Culture & Benefits

• Challenging environment with high impact on complex geolocational and real-time data problems.
• Flexible work options: hybrid, office, or remote within Finland, Sweden, or Germany.
• Ownership-driven culture: think big, stay humble, continuous learning.
• Kind and just treatment, diverse and inclusive teams.

Hiring process

• Apply directly; position filled as soon as right candidate found.
• Contact Talent Acquisition Partner for questions.