Senior Data Science Software Engineer — Data Lake & ML (Hybrid)

Nexthink; Vaud; Hybrid; CHF 140.000 - 190.000; Vollzeit

Benefits dieser Stelle

Lake Geneva view

Hybrid work

Unlimited vacation

Volunteer days

Fitness centre

Relocation package

France language classes

Team events

Referral bonuses

Zusammenfassung

Nexthink is seeking a Senior Software Engineer, Data Science to join the Cloud Intelligence team. You will design and ship data products, pipelines, and services powering our data lake, experimentation, and analytics capabilities for millions of users worldwide.

The role combines strong software engineering judgment with data science and ML skills, includes mentoring juniors, collaborating with data engineers and product teams, and shaping scalable data platforms in a fast-paced, global

Qualifikationen

• BSc/MSc/PhD in CS, DS, ML, or related field.
• 5+ years as software engineer on data-intensive systems.
• Strong fundamentals: clean architecture, testing, CI/CD.
• Experience with Spark and data lake infra at scale.
• Proficient in Python and data tooling (pandas, NumPy, scikit-learn, SQL).
• Experience with cloud platforms (AWS preferred).

Aufgaben

• Design & ship data products and services (pipelines, APIs) used by internal teams and customers.
• Build, scale, and maintain the data lake and pipelines (e.g., Spark).
• Apply data science to uncover patterns and inform system design.
• Leverage AI/ML to enhance development of data products.
• Collaborate with data engineers, ML engineers, and product teams.
• Mentor and coach junior engineers and data scientists.

Kenntnisse

Data science

Distributed data processing

CI/CD

Python

Communication

Ausbildung

Bachelor's/Master's/PhD in CS/DS/ML/Statistics

Tools

Spark

AWS

Jobbeschreibung

Nexthink is seeking a Senior Software Engineer, Data Science to join the Cloud Intelligence team. You will design and ship data products, pipelines, and services powering our data lake, experimentation, and analytics capabilities for millions of users worldwide.

The role combines strong software engineering judgment with data science and ML skills, includes mentoring juniors, collaborating with data engineers and product teams, and shaping scalable data platforms in a fast-paced, global