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

Nexthink

Vaud

Hybrid

CHF 140.000 - 190.000

Vollzeit

14 Tage+
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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

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