Data Science Manager: Trust & Fraud ML Lead (Copenhagen)

Trustpilot; Madrid; Presencial; EUR 161.000 - 241.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Flexible working options

Bonus and competitive compensation

25 days leave + anniversary bonus

Volunteer days

Learning and development via Trustpool

Health and pension benefits

Parental leave

Office culture with multilingual teams

Social and team events

Employee discounts

Leadership development program

Descripción de la vacante

Trustpilot is seeking a Data Science Manager to lead two teams focused on fraud-detection related to trust and content quality. You will bridge data science and engineering, driving end-to-end lifecycle from concept to production while collaborating with product managers, ML engineers, and designers.

You’ll guide a hands-on, senior team, manage cross-functional delivery, and cultivate a culture of technical excellence.

Formación

• Experience leading Data Scientists and Engineers in complex ML projects.
• Proven ability to deliver scalable ML/AI solutions end-to-end.
• Strong collaboration with product, ML engineers and designers.

Responsabilidades

• Lead and empower two teams within Trust to detect fake reviews.
• Own delivery of initiatives balancing research and engineering.
• Foster technical excellence and support team development.
• Define and support deliverables aligning with Trust OKRs.
• Plan work with cross-functional teams and manage dependencies.
• Build relationships with Trust stakeholders across units.
• Communicate risks and issues to stakeholders.
• Collaborate with Trust Tech leadership to retain talent.
• Create a culture of transparency, accountability and trust.

Conocimientos

Data science leadership

ML/AI expertise

Hands-on data science

Stakeholder collaboration

People coaching

Cloud services (GCP)

Herramientas

GCP cloud platform

Descripción del empleo

Trustpilot is seeking a Data Science Manager to lead two teams focused on fraud-detection related to trust and content quality. You will bridge data science and engineering, driving end-to-end lifecycle from concept to production while collaborating with product managers, ML engineers, and designers.

You’ll guide a hands-on, senior team, manage cross-functional delivery, and cultivate a culture of technical excellence.