Optimization Data Scientist

Avaron AB; Stockholms kommun; On-site; SEK 800,000 - 1,100,000; Full time

Benefits offered by this job

Occupational pension

Wellness allowance SEK 5,000 per year

Job summary

Avaron AB is seeking a role where advanced optimization meets production-ready ML. You will bridge technology and business, turning insights into scalable, robust AI products. You will optimize an existing model, enhance data pipelines, and ensure the deployed solution remains reliable in production on GCP.

Collaboration with Data Scientists, ML Engineers, and Product Managers is key. This is a hands-on role requiring strong Python, optimization expertise, MLOps, and the ability to communicate

Qualifications

• Experience with discrete optimization, IP and MILP.
• Proficient Python, writing clean, production-ready code.
• Experience deploying ML models in the cloud (GCP).
• Hands-on MLOps and CI/CD experience.
• Strong SQL and data wrangling skills.
• Familiar with DBT for data transformation.
• Able to work in Agile, cross-functional teams.

Responsibilities

• Maintain and improve an optimization model and implement enhancements.
• Present outputs to stakeholders and translate business needs into tech solutions.
• Monitor deployed AI product on GCP for performance and reliability.
• Improve data pipelines and integrate new data sources.
• Collaborate with Data Scientists, ML Engineers, and Product Managers.
• Apply MLOps best practices for deployment and lifecycle management.
• Carry out ad-hoc analyses and create visualizations to support decisions.
• Contribute to a Python codebase with clean, production-ready structure.

Skills

Discrete optimization

Python

GCP

MLOps

SQL

DBT

CI/CD

Communication

Job description

About the Role

You will take on a role where advanced optimization meets production-ready machine learning. In this environment, model outputs are not just used for analysis—they are part of an AI product that needs to stay robust, scalable, and useful in day-to-day decision-making. You will work close to both technology and business, turning analytical findings into solutions that create clear value.

This role is well suited to you if you enjoy moving between optimization, data engineering, MLOps, and stakeholder dialogue. You will help strengthen an existing optimization model, improve the surrounding data flows, and make sure the deployed solution continues to perform reliably in production. It is an interesting opportunity for you if you want to combine deep technical work with real influence on how AI products evolve.

Job Description

• You will maintain and improve an existing optimization model by identifying weaknesses and implementing practical enhancements.
• You will present model outputs and analytical findings to stakeholders, translate business needs into technical solutions, and bring feedback back into the product.
• You will monitor and maintain the deployed AI product on GCP to ensure strong performance, robustness, and efficiency.
• You will improve data preparation and wrangling pipelines and integrate additional data sources to strengthen model inputs.
• You will work closely with Data Scientists, ML Engineers, and Product Managers to improve model performance, reliability, and scalability.
• You will implement MLOps best practices for deployment, monitoring, and lifecycle management of machine learning models.
• You will carry out ad-hoc analyses and create visualizations that support data-driven decisions across teams.
• You will contribute to a Python codebase where clean structure, maintainability, and production readiness are important.

Requirements

• Solid knowledge and experience in discrete optimization models, including Integer Programming and Mixed Integer Programming.
• Strong Python skills with the ability to write clean, efficient, modular, and production-ready code.
• Experience developing and deploying ML models in the cloud beyond notebook-based coding and execution.
• Experience working with GCP for data and deployment workflows.
• Hands‑on experience with MLOps and CI/CD pipelines.
• Strong SQL skills for data manipulation and analysis.
• Ability to understand diverse data sources and build robust data wrangling and aggregation pipelines.
• Familiarity with DBT for data transformation.
• Comfort working in Agile, cross‑functional teams.
• Ability to communicate clearly with stakeholders and turn business requirements into technical solutions.

What We Offer

• Permanent employment at Avaron AB
• Occupational pension
• Wellness allowance of SEK 5,000 per year