Senior Data Scientist

Swedium Global is the growing System Engineering and Solution Company, offering cutting-edge services across Cloud, IT, Data Engineering, and Software Development domains to clients across Europe and have established us as a trusted partner for businesses seeking innovative solutions. Swedium Global is having presence in Sweden, Finland, Poland, Czech Republic and in India.

We are looking for a Senior Data Scientist for our customer.

Location: Stockholm

Job description:

We are looking for a highly skilled Data Scientist with 6+ years of experience, deep expertise in Linear Integer Programming, a strong background in data analytics, and hands-on experience with MLOps.. In this role, you will be instrumental in developing, maintaining, and scaling production-grade optimization models. The ideal candidate has a strong background in Linear Integer Optimization and MLOps, with the ability to handle everything from complex data wrangling to presenting clear results to our stakeholders.

Responsibilities

•Maintain and enhance the existing optimization model by proactively identifying shortcomings and implementing improvements.

•Present model outputs and analytical findings to stakeholders, gather and translate business requirements into technical solutions, and maintain clear, consistent communication with all stakeholders throughout the project lifecycle.

•Ensure the robustness and efficiency of the deployed AI product on GCP through continuous monitoring and maintenance.

•Improve the data preparation and wrangling pipeline and integrate additional data sources to enrich model inputs.

•Collaborate with Data Scientists, ML Engineers, and Product Managers to improve the performance, reliability, and scalability of the optimization model.

•Implement MLOps best practices for seamless deployment, monitoring, and lifecycle management of machine learning models.

•Conduct ad hoc data analyses and develop visualizations to support data driven decision making across teams.

Required Skills

•Solid knowledge and experience in discrete optimization models (Integer Programming, Mixed Integer Programming)

•Proven experience developing and deploying ML models in the cloud, preferably on GCP (beyond notebook-based coding and execution).

•Solid Python programming skills—writing clean, efficient, modular, and production-ready code that is easy to maintain and test.

•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. Familiarity with DBT for data transformation.

•Comfortable working in Agile, cross-functional teams.

•Strong collaboration skills and ability to thrive in complex, ambiguous problem domains.