Data Scientist

Deploja-Ab; Solna kommun; On-site; SEK 700,000 - 1,000,000; Full time

Job summary

Deploja-Ab in Stockholm is seeking a senior data scientist/ML engineer to design, deploy and scale ML models in production environments, beyond notebooks.

You will own end-to-end data workflows, MLOps pipelines, vector embedding systems, retrieval pipelines, and LLM-based applications, with a strong emphasis on CI/CD on GCP and robust data wrangling.

Qualifications

• Bachelor’s or Master’s degree in Statistics, Engineering, Computer Science, or a related field.
• 5+ years of experience working in data science or applied machine learning.
• Strong theoretical and practical knowledge in statistics and machine learning.
• Proven experience developing and deploying ML models in the cloud (beyond notebook-based coding and execution).
• Hands-on experience with MLOps and CI/CD pipelines, ideally on GCP.
• Strong SQL skills for data manipulation and analysis.
• Ability to understand diverse data sources and build robust data wrangling and aggregation pipelines.
• Practical experience with vector databases and embedding models.
• Familiarity with DBT or other data transformation tools.
• Hands on experience building and deploying ML and LLM based applications, retrieval pipelines, and prompt engineering.

Skills

Data science

ML deployment

MLOps

SQL

GCP

Vector databases

Embeddings

Retrieval pipelines

Prompt engineering

Data wrangling

DBT

Education

Bachelor's/Master's in Statistics/Engineering/CS

Job description

Essential requirements:

• Bachelor’s or Master’s degree in Statistics, Engineering, Computer Science, or a related field.
• 5+ years of experience working in data science or applied machine learning.
• Strong theoretical and practical knowledge in statistics and machine learning.
• Proven experience developing and deploying ML models in the cloud (beyond notebook-based coding and execution).
• Hands-on experience with MLOps and CI/CD pipelines, ideally on GCP.
• Strong SQL skills for data manipulation and analysis.
• Ability to understand diverse data sources and build robust data wrangling and aggregation pipelines.
• Practical experience with vector databases and embedding models.
• Familiarity with DBT or other data transformation tools.
• Hands on experience building and deploying ML and LLM based applications, retrieval pipelines, and prompt engineering.

Utilization: 100%

Location: Stockholm

Period: 15-11-2026-30-06-2027

Last day to apply: 05-11-2026