We at Analytics by Kaizen solve complex efficiency and decision-making problems with advanced analytics and digital solutions, that deliver high performance and transform businesses.

The combination of technological and analytical solutions with the KAIZEN™ methodology and philosophy, promotes a breakthrough approach, capable of responding to the infinite possibilities for continuous improvement.

We leverage KAIZEN™ knowledge and methodology by harnessing the power of Analytics, providing a journey of endless possibilities for continuous improvement, fully framed in a digital and data-driven era.

Responsibilities

Using mathematical modeling, statistical analysis, and mathematical optimization you will play an important role in the development of efficient solutions to address decision-making problems.

• As a data scientist you will be responsible for:
• Solve business problems by leveraging data and analytics
• Analyze large amounts of data and be able to identify patterns, trends and other data behaviors
• Perform ad-hoc analysis to support business needs
• Identify opportunities and deliver optimized solutions that meet defined goals and requirements
• Develop and implement mathematical models and algorithms to address complex business challenges, such as resource allocation, scheduling, supply chain optimization, and more.
• Design, implement, and test optimization algorithms using software tools and programming languages like Python or specialized optimization software.

You May Have

• PhD or MSc. in a numerate subject is preferred e.g. Mathematics, Computer Science, Data Science, Operations Research
• Experience in advanced data analysis, visualization and algorithm development
• Experience in mathematical optimization algorithms and metaheuristics is a plus
• Strong mathematical and analytical skills, with a deep understanding of optimization theory and techniques.
• Proficiency in programming languages such as Python, R, or C++.
• Experience with optimization software packages (e.g., Gurobi, CPLEX, MOSEK) is a plus.
• Expertise in mining large & complex data sets - both structured and unstructured data and including (but not limited to) efficient extraction of data, transformation and application
• Culture of analytical ‘curiosity’ through innovative, data driven insights on business questions
• Solve business problems by leveraging data and analytics

What We Offer

• Competitive salary;
• Involvement in attractive and motivating projects;
• Integration in an agile, young and dynamic team;
• Informal environment;
• Career development

Note: Applications from people with disabilities, chronic illnesses or oncological illnesses are accepted upon sending a medical certificate proving their incapacity and provided that their clinical situation is compatible with the performance of the activity to be contracted.