Data Scientist

Description

Job Summary: We are seeking a Data Scientist with experience in optimization to design and implement complex models, translate business needs into analytical solutions, and generate insights for strategic decision-making. Key Responsibilities: 1. Design and implement optimization models for complex problems. 2. Collaborate with business and technology teams, promoting the use of data and AI. 3. Transform complex problems into actionable solutions. **Data Scientist (1 vacancy)** **Developers and Systems Analysts \- IT Programming Technicians** ================================================================================================================================ ### **CONTACT INFORMATION** **Company:** ACL (Computational Applications) **Economic activity:** Computer and information systems consulting activities; management of information systems facilities ### **DESCRIPTION** What will you do? Design and implement optimization models to solve complex operational problems. Translate business needs into analytical solutions and data-driven models. Define and evolve key business and operational performance metrics. Integrate and prepare data from multiple sources, ensuring quality and consistency. Develop production-grade solutions in Python, following sound engineering practices. Validate models and constraints, ensuring alignment with real-world operations. Generate insights to support strategic, operational, and product decisions. Develop visualizations and tools to facilitate interpretation of results. Collaborate with business and technology teams, promoting responsible use of data and AI. What are we looking for? We especially seek candidates with experience in OPTIMIZATION challenges, capable of developing solutions that maximize efficiency, automate decisions, and resolve large-scale complex operational challenges. Working at the intersection of analytics, engineering, and business, this profile transforms complex problems into actionable solutions, directly contributing to improved business efficiency and outcomes. Ability to model complex scheduling and/or routing problems, integrating business data and constraints. Production-oriented Python development (modularity, testing, pipelines, and constraint validation). Proficiency in SQL and data manipulation from multiple sources. Experience in exploratory data analysis (EDA) and data quality assurance. Metropolitan Region, Las Condes 25/05/2026 \- 15/06/2026 Confidential Full-time ### **REQUIREMENTS** **Education level:** **Experience:** 5 years ### **CHARACTERISTICS** **Contract type:** Indefinite-term contract **Position level offered:** Professional **Source of the offer:** WEB **Professional practice opportunity:** No **Suitable for the following employment groups:** Persons with disabilities View job requirements