Senior Data Scientist (Optimization & Machine Learning)

About Justera Group

Justera Group AB is a leading Swedish IT consulting firm with great experience specializing in building high-performing technology teams and delivering end-to-end IT solutions. Led by dynamic female executives, Justera Group focuses on helping businesses harness the power of digital technologies to continuously evolve in today’s rapidly changing economy. The company has deep expertise in IT consultancy, software development, and recruitment services, providing clients with purpose-driven, well-trained consultants who consistently deliver efficient and effective results. Justera Group manages the entire talent lifecycle, from hiring to ongoing management, ensuring the right fit for each project on time and within budget. With their strong commitment to quality, collaboration, and client success, Justera Group is a trusted partner for technology innovation across Sweden.

About the Role:

We are seeking an experienced Senior Data Scientist with strong expertise in Linear Programming (LP) and Mixed Integer Programming (MIP) to develop, maintain, and scale production-grade optimization solutions. This role requires a solid foundation in optimization, analytics, statistics, and machine learning, along with the ability to build robust, production-ready data science solutions in a cloud environment.

The ideal candidate is an experienced Python developer who writes clean, modular, and maintainable code, possesses strong SQL skills, and enjoys collaborating with cross-functional teams to solve complex business challenges.

Key Responsibilities:

• Maintain, optimize, and enhance existing optimization models by identifying opportunities for improvement and implementing scalable solutions.

• Develop, deploy, monitor, and maintain production-grade optimization and machine learning solutions in a cloud environment.

• Build and improve data preparation, transformation, and aggregation pipelines while integrating new data sources to enrich model performance.

• Analyze model outputs and communicate insights and recommendations to business stakeholders.

• Translate business requirements into technical solutions and maintain clear communication throughout the project lifecycle.

• Collaborate closely with Data Scientists, Machine Learning Engineers, Product Managers, and other cross-functional stakeholders.

• Implement and support MLOps best practices, including deployment, monitoring, automation, and model lifecycle management.

• Perform ad hoc data analysis and create visualizations to support data-driven decision-making.

• Ensure solution reliability, scalability, and operational efficiency through continuous monitoring and performance improvements.

Requirements:

• Strong experience with Discrete Optimization, including Linear Programming (LP), Integer Programming (IP), and Mixed Integer Programming (MIP).

• Proven experience developing and deploying machine learning solutions in production cloud environments, preferably Google Cloud Platform (GCP).

• Advanced Python programming skills with experience writing clean, modular, testable, and production-ready code.

• Strong SQL skills for data manipulation, transformation, and analysis.

• Hands-on experience with MLOps practices and CI/CD pipelines.

• Experience building scalable data wrangling, transformation, and aggregation pipelines.

• Familiarity with dbt for data transformation workflows.

• Experience working in Agile, cross-functional environments.

• Excellent analytical, problem-solving, and stakeholder communication skills.

• Ability to thrive in complex, fast-paced, and evolving business environments.

What We Offer:

• A dynamic and innovative workplace driving advancements in cutting-edge robotic technologies

• The opportunity to collaborate with talented cross-functional teams on meaningful and impactful projects

• Competitive compensation and comprehensive benefits package

• A supportive culture that fosters continuous learning, growth, and professional development

• Flexible hybrid working model for an optimal work-life balance

• 25 days of annual leave to recharge and relax

• An annual wellness allowance of 3,500 SEK to support your health and wellbeing