DATA SCIENTIST

We are seeking a Data Scientist with strong expertise in modeling, optimization, and a passion for leveraging data to improve the environmental performance of urban watersheds. This role focuses on optimizing wastewater networks and treatment systems through advanced data analytics, physically based and data-driven models, and state-of-the-art optimization techniques., As a Data Scientist, you will play a key role in designing, developing, and implementing advanced solutions for the water sector. You will work closely with a multidisciplinary team of IT experts, software developers, data scientists, engineers, and business professionals. Your daily responsibilities will include:

• Providing Data Science expertise to cross-functional project teams.
• Designing data science architectures for water-related applications.
• Applying data analytics techniques to large datasets (e.g., clustering, regression).
• Developing data-driven models using machine learning frameworks (e.g., TensorFlow).
• Implementing optimization methods such as Genetic Algorithms (GA) and Linear / Mixed Integer Linear Programming (LP / MILP).
• Communicating analytical insights clearly and concisely, both verbally and visually.
• Participating in Agile ceremonies and coordinating technical project teams.
• Creating and maintaining high-quality technical and project documentation.

Do you have a Master's degree?, Knowledge, Skills & Abilities

• Proficiency in Python, with advanced experience using common data science libraries (e.g., Pandas, NumPy, scikit-learn).
• Strong knowledge of machine-learning tools such as TensorFlow and XGBoost.
• Advanced understanding of optimization methods, including GA, LP, and MILP.
• Familiarity with hydraulic modeling tools for wastewater networks (e.g., SWMM, ICM) or treatment systems (e.g., SUMO, WEST) is a plus.
• Ability to lead and support Scrum processes using tools such as Jira.
• Excellent written and verbal communication skills., * Undergraduate degree in Engineering, Physics, Mathematics, Data Science, or a related field.
• Master's or PhD preferred.
• Training in Data Science and Analytics.
• Training in Python.
• Hydraulic modelling training is a plus.
• MLOps/DevOps training is a plus.
• Proficient in English and Spanish.
• German is a plus.
• 5-10+ years of interdisciplinary research or project experience involving multiple engineering or scientific disciplines.
• Minimum 2 years of experience in water-related projects.