Data Scientist - MRO

If you're looking for a change, want new challenges, and you specialize in Data… keep reading because this opportunity will interest you!

We are looking for a Senior Data Scientist to join a stable position at one of our main clients in the aviation industry. As a Data Scientist, you will work closely with multidisciplinary teams to identify business needs, translate them into mathematical models, and design effective optimization algorithms.

Responsabilities:

Data analysis and processing:

• Collect, clean, and prepare data from various sources for use in optimization processes and analysis.

Optimization algorithms:

• Design and implement metaheuristic optimization algorithms such as Genetic Algorithms (GA).
• Solve complex mathematical problems by designing and implementing customized optimization solutions.
• Analyze and fine-tune optimization algorithms to ensure they meet established performance objectives.

Problem modeling:

• Translate complex business rules into mathematical constraints applicable to optimization problems.
• Collaborate with stakeholders to understand requirements and create tailored solutions for specific operational challenges.

Collaboration and communication:

• Work in close coordination with product development teams.
• Present results and model insights to senior leaders and key stakeholders.

Mentorship:

• Provide guidance and support to junior data scientists, helping them apply optimization techniques and best practices.
• Share knowledge and experience within the team to foster a culture of continuous learning and improvement.

• Bachelor's degree in Operations Research, Applied Mathematics, Computer Science or related field.
• 2+ years of experience in Data Science, Analytics, or similar roles.
• Strong background in metaheuristic optimization (Genetic Algorithms, PSO, SA).
• Ability to translate complex mathematical problems into practical optimization algorithms.
• Proficiency in Python (or R) and key data science libraries (Pandas, NumPy, Scikit-learn).
• Experience with optimization frameworks (PuLP, Pyomo, DEAP, Optuna).
• Understanding of constraint programming and business rule modeling.

Nice-to-Have

• Data visualization experience (Matplotlib, Seaborn, etc.).
• Knowledge of ETL processes and data cleansing.
• Familiarity with linear optimization tools (Gurobi, CPLEX).
• Experience deploying models on cloud environments (AWS preferred).
• Exposure to advanced modeling libraries (Pyomo, OR-Tools).