Senior Data Scientist (ML, Applied AI)

TL;DR

Senior Data Scientist (ML, Applied AI): Turning real-world parking and payment data into decisions and revenue with an accent on statistical modeling, machine learning, and scalable analytics tooling. Focus on building data pipelines, monitoring revenue strategies, and delivering self-serve dashboards that guide product and B2B customer decisions.

Location: Munich

Company

hirify.global provides barrier-free digital parking across Germany, Austria, Switzerland, and Italy using computer vision instead of gates.

What you will do

• Analyze large datasets to find trends, patterns, and anomalies across the parking and payment ecosystem.
• Develop data-driven hypotheses to grow revenue and proactively flag risks and opportunities.
• Continuously monitor and refine revenue-enhancing strategies.
• Extend the product with statistical and analytical tooling for B2B customers to manage parking areas smarter.
• Build reporting and dashboards for business self-serve insights.
• Partner with data engineers to ensure trustworthy, accessible data and build pipelines for collection, processing, and transformation.

Requirements

• Proven senior experience in data science, ML, and analytics with measurable impact.
• Degree in a quantitative field (computer science, statistics, mathematics, physics, engineering, or similar).
• Strong experience with data analysis, statistical modeling, and machine learning.
• Expert-level Python and SQL, plus data visualization and Git.
• Experience with cloud computing, data warehouses, and NoSQL databases (AWS, Aurora PostgreSQL, Redshift; Tableau as BI layer).
• Excellent written and spoken English (C1).

Culture & Benefits

• Hybrid setup: 3 days in the office / 2 days remote.
• 40 hours per week with flexible working hours.
• Permanent contract and company pension plan.
• Corporate benefits, JobRad bike leasing, and choice of Deutschlandticket or EGYM Wellpass.
• Modern equipment (MacBook and large monitor) and onboarding support.
• Access to frontier AI models, MCP servers, and agentic tooling.

Hiring process

• Initial contact within 48 hours.
• HR interview, live assessment, and technical challenge.
• Leadership conversation and an on-site meeting in Munich.