Lead Data Scientist

albelli

Amsterdam

On-site

EUR 75,000 - 100,000

Full time

14 days+

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Job summary

A leading technology company based in Amsterdam is seeking a Lead Data Scientist to drive machine learning initiatives across the organization. The successful candidate will lead the design and deployment of ML solutions, guide a team of data scientists, and work closely with product teams to align machine learning efforts with business objectives. The ideal applicant has over five years of experience in data science and a background in deploying ML models. This is a full-time, mid-senior level position.

Qualifications

  • 5+ years of experience as a Data Scientist or ML Engineer.
  • Experience deploying ML models in production on modern MLOps platforms.
  • Experience setting standards, coaching data scientists, and influencing others.

Responsibilities

  • Lead design, development, and deployment of complex ML solutions.
  • Guide data scientists through their development work.
  • Ensure alignment between deployed models and business objectives.

Skills

Data Science
Machine Learning
Statistical Concepts
Software Engineering Best Practices

Education

Degree in Computer Science or Mathematics

Job description

albelli Amsterdam, North Holland, Netherlands

Lead Data Scientist

Join Storio Group as our Lead Data Scientist and shape the technical future of machine learning. You will help us use data and AI to provide customers with proactive, automated, and highly personalized experiences. The role is based in Amsterdam or Nijmegen and focuses on driving machine learning across the business in a decentralized way.

Responsibilities
  • You lead the full design, development, and deployment of complex ML and AI solutions.
  • You guide other data scientists through their own development and deployment work.
  • You define and champion data science standards to increase our ML maturity.
  • You work with the Principal Engineer and Product Manager to find new ML opportunities.
  • You ensure alignment between deployed models and core business objectives.
  • You partner with platform teams to ensure end-to-end value from the ML lifecycle.
Deliverables
  • You successfully deploy customer‑facing, revenue‑driving ML models in production.
  • You improve the organization’s overall data and AI maturity through your guidance and expertise.
  • You ensure the technical feasibility of new or loosely defined ML opportunities.
  • You become the key technical voice for our AI platforms and all downstream applications.
  • You successfully apply various experimentation methods, from randomised control to causal inference.
  • You establish a clear technical direction for decentralized ML adoption across Storio.
Qualifications
  • Five+ years of experience as a Data Scientist or ML Engineer.
  • Proven experience deploying ML models in production on modern MLOps platforms.
  • Experience setting standards, coaching data scientists, and influencing without direct authority.
  • Demonstrable success with value‑delivering marketing ML use cases like churn, upsell, and pricing.
  • A solid understanding of statistical concepts and their application in a corporate setting.
  • Experience with causal inference in marketing or non‑randomised settings.
  • Evidence of using software engineering best practices in ML modelling.
Desired Skills
  • Experience with operations ML use cases such as anomaly detection.
  • A degree in a STEM field such as Computer Science or Mathematics.
  • Experience delivering generative AI use cases in a production environment.
Equal Opportunities & Right to Work

Storio Group is an equal opportunity employer, celebrating diversity and fostering an inclusive environment. We are committed to making reasonable adjustments for disabilities during interviews. Applicants must also have the legal right to work in the position’s country without requiring sponsorship.

Job Details
  • Seniority level: Mid‑Senior level
  • Employment type: Full‑time
  • Job function: Engineering and Information Technology
  • Industries: Transportation, Logistics, Supply Chain and Storage
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