Senior Data Scientist

ELCA Switzerland and Europe; Pully; On-site; CHF 140,000 - 190,000; Full time

Job summary

ELCA Switzerland and Europe is seeking a Senior AI Engineer to take the technical lead on data science and AI/ML projects. You will drive end-to-end delivery from requirement gathering to deployment, modeling complex business problems and creating data pipelines for training and inference.

You will collaborate with interdisciplinary IT and engineering teams, build and optimize MLOps solutions, and mentor junior data scientists while traveling across Romandie.

Qualifications

• Degree from a technical university.
• 5+ years in AI, data science or ML roles.
• Proficient in Python and ML frameworks (scikit-learn, TensorFlow, PyTorch).
• Experience with data analysis tools (pandas) and MLflow.
• Cloud and big data knowledge is an advantage.
• Fluent in French and English.

Responsibilities

• Take technical lead in data science and AI/ML projects from requirements to delivery.
• Realize end-to-end data science and AI/ML projects.
• Model and analyse data; communicate results to stakeholders.
• Develop and optimize ML models for business problems.
• Create data pipelines for training and inference.
• Build, maintain and optimize MLOps pipelines for training, deployment and monitoring.
• Collaborate with interdisciplinary IT and engineering teams.
• Mentor junior data scientists.

Skills

French-English fluency

Analytical thinking

Communication skills

Travel flexibility

Leadership / mentoring

Education

Technical university degree

Tools

Python

scikit-learn

TensorFlow

PyTorch

pandas

MLflow

Azure

AWS

Google Cloud

Spark

Databricks

Git

JIRA

Job description

In this role

• As a Senior AI Engineer, you will take the technical lead in exciting data science and AI/ML projects. You will be responsible for the design, development and implementation of solutions in these areas.
• Realize end-to-end data science and AI/ML projects from requirement to delivery
• Analysis and modelling of data as well as evaluation and communication of the results to various stakeholders
• Model complex business problems with machine learning: You will select appropriate methods and models, adapt them to customer data and optimize them if necessary
• Create processes and data pipelines to prepare raw data for model training and inference
• Create, maintain, and optimize MLOps pipelines to automate model training, deployment, and monitoring
• Close cooperation with interdisciplinary IT and engineering teams
• Imparting technical know-how and supervising junior data scientists.

What you bring

• A degree from a technical university
• At least 5 years of experience in the AI field as a data scientist, ML engineer or similar position
• Sound knowledge of Python or other programming languages. Experience with data science and machine learning frameworks (e.g. scikit-learn, TensorFlow, PyTorch), data analysis tools (e.g. pandas) and MLOps tools (e.g. MLflow)
• Sound knowledge of Windows, Linux, network technology, data storage, web services as well as software engineering and collaboration tools (e.g. Git, JIRA, Microsoft Teams)
• Knowledge of cloud technologies (Azure, AWS, Google Cloud) and big data platforms (e.g. Spark, Databricks) is an advantage
• Strong analytical and problem-solving skills.
• Flexibility to travel around Romandie
• Good communication skills, ability to create and sustain client relationships
• Fluent in French and English

What we offer

• A stimulating and professional working environment in a dynamic team with extensive expertise
• Exciting projects and challenging problems to solve using the latest technologies
• Flat organizational hierarchies and cross-functional teamwork
• Close contact with customers in diverse industries
• A supportive culture with excellent opportunities for professional and personal development