Industrial Data Scientist for Offshore Analytics

SLB Kristiansand; Kristiansand; Sur place; NOK 850 000 - 1 050 000; Plein temps

Avantages offerts par ce poste

Data Modeling

Development of data pipelines

Python (dataprogrammering)

Résumé du poste

SLB Kristiansand søker Data Scientist - Industrial Data & Analytics til Rig Equipment-teamet. Rollen innebærer å integrere og strukturere utstyr- og driftsdata i Cognite Data Fusion (CDF) for analyse og optimalisering i et internasjonalt arbeidsmiljø.

Du har erfaring med data engineering/science, Python, og bygging av datapipelines i skybaserte miljøer, og kan omsette driftsbehov til robuste dataasseter og tjenester, med fokus på kvalitet, sikkerhet og skalerbarhet.

Qualifications

• Bachelor's or master's degree in data science, computer science, software engineering, engineering, applied mathematics, or a related discipline.
• Relevant practical experience may also be considered.
• Experience with data engineering, data science, or a combined full-stack data profile.
• Expected depth of experience will be adapted for junior and experienced applicants.
• Strong programming skills, preferably in Python, and the ability to develop production-quality data solutions.
• Experience building data pipelines and working with cloud-based data environments.
• Understanding of data modeling, transformation, contextualization, testing, and data-quality practices.
• Ability to communicate clearly and work effectively with both technical specialists and domain experts.
• Good written and spoken English.

Responsabilités

• Translate business, client, and operational needs into clear data, model, and solution requirements.
• Design, build, and maintain robust data pipelines that ingest equipment and operational data into Cognite Data Fusion and associated cloud services.
• Model, contextualize, and structure industrial data so it can be reliably used by analytics, applications, and engineering workflows.
• Ensure data quality, traceability, reliability, security, and scalability across the data lifecycle.
• Prepare and expose data for analytical and optimization use cases, including equipment-performance monitoring, anomaly detection, and operational optimization.
• Develop, evaluate, and operationalize analytical methods and models where appropriate to the use case.
• Collaborate with domain experts to identify valuable use cases and translate complex operational challenges into practical data solutions.
• Develop and integrate APIs, services, and software components needed to make data and analytical results accessible to users and applications.
• Contribute to architecture, coding standards, testing, documentation, deployment practices, and lifecycle support for industrial data solutions.
• Work closely with software developers, engineers, simulator teams, product stakeholders, and operational specialists.

Connaissances

Python

Data pipelines

Cloud environments

Data engineering

Data science

English

Team collaboration

Formation

Bachelor's or Master's in data science / CS / engineering

Outils

Cognite Data Fusion

Description du poste

SLB Kristiansand søker Data Scientist - Industrial Data & Analytics til Rig Equipment-teamet. Rollen innebærer å integrere og strukturere utstyr- og driftsdata i Cognite Data Fusion (CDF) for analyse og optimalisering i et internasjonalt arbeidsmiljø.

Du har erfaring med data engineering/science, Python, og bygging av datapipelines i skybaserte miljøer, og kan omsette driftsbehov til robuste dataasseter og tjenester, med fokus på kvalitet, sikkerhet og skalerbarhet.