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Operations Research – Senior Data Scientist IRC246637
| Job: | IRC246637 |
| Location: | Argentina - Buenos Aires |
| Designation: | Associate Specialist Engineer |
| Experience: | 5-10 years |
| Function: | Engineering |
| Skills: | Analytical Capabilities, CP-SAT, Data Science, Machine Learning, Mongodb Pandas, Python, PyTorch, Schedule Optimization, Scikit-learn |
| Work Model: | Remote |
Description:
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Requirements:
• Master’s degree (PhD advantage) in Data Science, Operations Research (mainly), Industrial Engineering, Computer Science, Mathematics, or other STEM fields
• 3+ years of industry experience developing and implementing optimization models using optimization tools such as Google OR-Tools (CP-SAT), IBM CPLEX, and Gurobi.
• Proficient in written and spoken English, demonstrating good communication skills
• Strong programming skills in Python.
• Deep understanding of linear programming, integer programming, mixed-integer programming, and constraint programming.
• Strong mathematical and analytical skills.
• Familiarity with software development best practices, including version control (e.g., Git).
• Advanced knowledge of machine learning packages such as pandas, scikit-learn, XGBoost, PyTorch, etc.
• Good summarization and storytelling capabilities for data science projects
Preferred Qualifications
• Experience in the corporate real estate industry or a related field.
• Strategic, outside-of-the-box thinker
• Knowledge of vehicle routing problems (VRP), and experience with route optimization models.
• Familiarity with network flow models and geographic information systems (GIS).
• Knowledge of machine learning techniques and their application in optimization problems.
• Cloud computing experience with platforms like AWS, GCP, or Azure.
• Familiarity with GIS software or spatial data analysis tools.
Job Responsibilities:
• Model Development: Design and develop advanced mathematical models to solve real-world optimization problems.
• Data Integration: Collaborate with data engineers and business analysts to gather, clean, and preprocess data necessary for modeling.
• Problem Definition: Work with stakeholders to define problem requirements, constraints, and objectives.
• Model Implementation: Implement, test, and validate optimization models, ensuring their accuracy, robustness, and scalability.
• Solution Deployment: Integrate optimization solutions with existing systems and operational processes.
• Performance Analysis: Conduct comprehensive performance analysis and troubleshoot to refine and enhance models.
• Documentation: Document methods, algorithms, and results to ensure reproducibility and transparency.
• Stakeholder Communication: Communicate findings and recommendations to both technical and non-technical stakeholders through presentations and detailed reports.
• Research & Development: Stay current with industry trends and advancements in optimization techniques and tools, proposing enhancements to current methodologies.
We Offer
Exciting Projects: Come take your place at the forefront of digital transformation! With clients across all industries and sectors, we offer an opportunity to work on market-defining products using the latest technologies.
Collaborative Environment:Expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment — or even abroad in one of our global centers or client facilities!
Work-Life Balance:GlobalLogic prioritizes work-life balance, which is why we offer flexible work schedules.We offer you the best quality of work life so that you exceed the expectations of our clients, while achieving your professional and personal ambitions.
Professional Development:Our dedicated Learning & Development team regularly organizes English classes, professional certifications, and technical and soft skill trainings. We also offer the chance to travel internationally
Excellent Benefits:We provide our employees with competitive salaries, family medical insurance, extended paternity leave, annual performance bonuses, and referral bonuses.