Data Scientist

Aqilea; United States; Hybrid; USD 71,000 - 101,000; Full time

Job summary

Aqilea in Stockholm is seeking a Data Scientist to join our data team and develop applied ML solutions. You will build robust data pipelines and collaborate with product and engineering to turn data into business insights.

Required: 5+ years in data science, strong ML/statistics, cloud deployment (GCP preferred), MLOps, SQL, Python, and experience with vector databases and DBT. You will lead projects and communicate results to stakeholders.

Qualifications

• 5+ years in data science or applied ML.
• Strong stats and ML theory and practice.
• Experience deploying ML in cloud environments.
• Experience with MLOps and CI/CD pipelines, ideally on GCP.
• Strong SQL for data manipulation.
• Experience with vector databases and embeddings.
• Familiarity with DBT or similar data transformation tools.
• Hands-on experience building ML/LLM applications, retrieval pipelines, and prompt engineering.
• Proficiency in Python and ML frameworks (PyTorch, TensorFlow, LangChain).
• Proven AI project leadership and stakeholder management.
• Excellent communication translating AI to business insights.

Skills

Python

SQL

Machine learning

Data wrangling

Communication

Stakeholder management

MLOps

Problem solving

Cloud deployment

Cloud platforms

Tools

GCP

DBT

LangChain

PyTorch

TensorFlow

Job description

Role: Data Scientist
Job Ref Id: JD-1314
Competence level: 5+
Start date: 2026-11-15
End date: 2027-06-30
Extension option: Yes
Scope: 100%
Location: Stockholm
Remote work: 2 days per week
Language: English
Application deadline: 2026-11-08
Number of consultants: 1
Security clearance: No

About the assignment

We are looking for a candidate with experience in data science and applied machine learning.

Requirements

Mandatory

• 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.
• Strong proficiency in Python and ML frameworks such as PyTorch, TensorFlow, LangChain, or similar.
• Proven experience leading AI projects and stakeholder management.
• Excellent communication skills with the ability to translate complex AI concepts into business-relevant insights.