Senior Data Scientist

inventYOU IT Consulting

Senior Data Scientist developing and enhancing optimization models in a hybrid work environment. Collaborating on AI product development in a high-impact consulting role.

Posted 7/15/2026full-timeStockholm • 🇸🇪 SwedenSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and deploying ML models on GCP, with a strong focus on discrete optimization models and MLOps best practices. Proficient in data wrangling, SQL, and effective communication of technical findings to diverse stakeholders.

Highest-signal resume keywords

Discrete Optimization ModelsMachine Learning Model Deployment on GCPPython ProgrammingMLOps and CI/CD PipelinesSQL for Data Manipulation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Discrete Optimization ModelsMachine Learning Model DeploymentPython ProgrammingSQLData WranglingMLOpsCI/CD PipelinesData VisualizationAgile MethodologyOptimization Solvers

Soft Skills

Collaboration SkillsCommunication Skills

Tools & Technologies

GCPDbtGurobiCPLEXOR-ToolsPyomo

Industry Keywords

Data PreparationData AnalysisModel MonitoringStakeholder EngagementAd Hoc Analysis

Tech Stack

Tools & technologies

CloudGoogle Cloud PlatformPythonSQL

About the role

Key responsibilities & impact

Maintain and enhance the existing optimization model by proactively identifying shortcomings and implementing improvements
Present model outputs and analytical findings to stakeholders, translating business requirements into technical solutions
Ensure the robustness and efficiency of the deployed AI product on GCP through continuous monitoring and maintenance
Improve the data preparation and wrangling pipeline, integrating additional data sources to enrich model inputs
Collaborate with Data Scientists, ML Engineers, and Product Managers to improve performance, reliability, and scalability
Implement MLOps best practices for deployment, monitoring, and lifecycle management of ML models
Conduct ad hoc data analyses and develop visualizations to support data-driven decision-making

Requirements

What you’ll need

Solid knowledge and experience with discrete optimization models (Integer Programming, Mixed Integer Programming)
Proven experience developing and deploying ML models in the cloud, preferably on GCP (beyond notebook-based work)
Strong Python programming skills - clean, efficient, modular, production-ready code
Hands-on experience with MLOps and CI/CD pipelines, ideally on GCP
Strong SQL skills for data manipulation and analysis
Experience building robust data wrangling and aggregation pipelines; familiarity with dbt
Comfortable working in Agile, cross-functional teams
Strong collaboration skills and ability to thrive in complex, ambiguous problem domains
Excellent written and verbal communication skills in English
**Nice to Have**
Experience with optimization solvers (e.g. Gurobi, CPLEX, OR-Tools, Pyomo) is a plus
Familiarity with DBT for data transformation
Experience presenting technical results to non-technical stakeholders
Comfortable working in complex, ambiguous problem domains
Experience with data visualization tools for ad hoc analysis and reporting

Benefits

Comp & perks

Work on advanced optimization models with direct business impact
Collaborate with experienced data science, ML, and engineering teams
Contribute to cutting-edge AI product development on GCP
Develop your expertise in MLOps, optimization, and cloud-native ML
Be part of technically challenging and long-term consulting assignments