Data & Risk Manager (m/w/d)

Stellenbeschreibung

At Enzo, we’re revolutionizing the way buildings manage water systems. Our mission is to prevent water damage, reduce waste, and promote sustainability through cutting-edge IoT and AI technology. By combining deep technical expertise with a commitment to resource conservation, we help insurers, property managers, and homeowners take proactive steps toward protecting their properties and the planet.

Tasks

As a Data & Risk Manager at Enzo, you will play a critical role in leveraging data and machine learning to drive impactful insights. Your responsibilities will include analyzing complex datasets, optimizing AI models, and collaborating with multidisciplinary teams. While your focus will extend across various projects, a primary example is our work on water and leakage pattern detection, where you will:

• Anomaly Analysis: Monitor and analyze data from our AI-based early warning systems to identify potential anomalies, distinguishing between true positives (actual leaks) and false alerts.
• Incident Evaluation: Use physics-based reasoning and water pipe system knowledge to evaluate the likelihood of detected anomalies being genuine.
• System Optimization: Provide feedback to the development team to enhance the accuracy and performance of our AI models.
• Reporting: Document and categorize findings, generate detailed reports on system performance, and suggest improvements.
• Collaboration: Partner with hardware, software, and AI teams to refine detection protocols and ensure system updates align with user needs.
• Customer Communication: Occasionally engage directly with customers to gather insights about detected anomalies and confirm potential water leaks.

Requirements

Who You Are
You’re an innovative thinker with a passion for solving complex problems. Your skillset includes:

• Data Analysis: A proven ability to interpret and derive insights from large datasets.
• Scientific Approach: Expertise in physics or engineering, particularly in fluid dynamics or similar domains.
• Problem Solving: A creative and persistent approach to overcoming challenges.
• Detail-Oriented: Exceptional focus on accuracy and nuance when analyzing patterns.
• Collaborative Spirit: A strong team player eager to contribute to a dynamic, multidisciplinary team.

Qualifications

• Education & Experience:
  - Bachelor’s or Master’s degree in Physics, Data Science, Engineering, or a related field.
  - Ideally 3+ years of experience in roles involving data analysis, machine learning, or water systems monitoring.
• Technical Knowledge:
  - Familiarity with AI systems, IoT, and anomaly detection is a plus.
  - Understanding of water pipe systems or fluid dynamics.
• Communication Skills:
  - Excellent report writing and presentation skills for both technical and non-technical audiences.

Benefits

• Make an Impact: Contribute to innovative solutions that prevent water damage and promote sustainability.
• Grow Professionally: Work hands-on with AI and IoT systems, with opportunities for skill development.
• Flexible Work: Enjoy hybrid or remote working options.
• Collaborative Culture: Join a supportive team that values autonomy and shared success.Competitive Package: Receive a competitive salary, benefits, and performance-based bonuses.

How to Apply
We’d love to hear from you! Please send us your CV and a motivation letter telling us why you’re the perfect fit for this role and what excites you about joining our mission-driven team.

Kontakt

Enzo