Senior Data Scientist: Optimization & MLOps (Production AI)

SwedQ; Stockholms kommun; On-site; SEK 900,000 - 1,200,000; Full time

Benefits offered by this job

Competitive salary

Pension plan

Private health insurance

Wellness & gym

Development budget

Company car

Home cleaning & childcare

Stockholm office

Daily breakfast

Mentor program

Job summary

SwedQ is seeking an experienced Data Scientist to work across data science, analytics, optimization, software engineering, and MLOps. The role offers a broad, cross‑functional scope and exposure to multiple industries as a consultant in the SwedQ environment.

You will develop and productionize AI/optimization solutions, deploy them in cloud environments, and collaborate with cross‑functional teams to translate business needs into scalable technical outcomes.

Qualifications

• Several years of professional experience within data science, machine learning, optimization, or a related field.
• Strong knowledge of discrete optimization, such as Integer Programming or Mixed Integer Programming.
• Experience taking models beyond notebooks and operating them in a production environment.
• Strong Python skills and experience building modular, production-ready software.
• Strong SQL skills for data analysis, transformation, and data pipeline development.
• Hands-on experience with MLOps, automated testing, deployment pipelines, and model monitoring.
• Experience working with cloud-based data and machine learning platforms, preferably Google Cloud Platform.
• A solid understanding of software architecture and maintainable codebases.
• Experience building data wrangling and aggregation pipelines from diverse data sources.

Responsibilities

• Develop, maintain, and improve advanced data science and optimization solutions.
• Build and enhance discrete optimization models, including Integer and Mixed Integer Programming models.
• Productionize, deploy, monitor, and maintain AI and machine learning solutions in cloud environments.
• Identify weaknesses in existing models and proactively implement improvements.
• Build robust data preparation, aggregation, and feature engineering pipelines.
• Integrate data from multiple internal and external sources.
• Write clean, modular, tested, and maintainable Python code.
• Implement MLOps and CI/CD practices for model deployment and lifecycle management.
• Conduct exploratory and ad hoc analyses to support business decisions.
• Present model outputs and analytical findings to technical and non-technical stakeholders.
• Translate business requirements and stakeholder feedback into scalable technical solutions.
• Collaborate with Data Scientists, ML Engineers, Data Engineers, Product Managers, and business stakeholders.

Skills

Python

SQL

MLOps

GCP

Production-ready software

Data pipelines

Optimization

Communication

Agile

Education

Master's degree in Computer Science or related field

Tools

Gurobi

CPLEX

OR-Tools

Pyomo

Docker

Kubernetes

Vertex AI

BigQuery

Cloud Run

Job description

SwedQ is seeking an experienced Data Scientist to work across data science, analytics, optimization, software engineering, and MLOps. The role offers a broad, cross‑functional scope and exposure to multiple industries as a consultant in the SwedQ environment.

You will develop and productionize AI/optimization solutions, deploy them in cloud environments, and collaborate with cross‑functional teams to translate business needs into scalable technical outcomes.