Mid-Level Python Data Scientist

Job not on LinkedIn

🔥 13 hours ago

🇧🇷 Brazil – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

🗣️🇧🇷🇵🇹 Portuguese Required

Where this job comes from

Posted on Compass's careers page ↗Compass's careers page, not through a job board

First seen by Remote Rocketship 13 hours ago

Still open on Compass's site. Checked 1 hour ago.

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Logo of Compass

Compass

10,000+ employees

🏠 Real Estate

📱 Media

Real Estate • Media

Compass is a real-estate-focused content and services site that provides detailed market analysis, buying/selling/renting guides, mortgage and financing information, and home improvement and renovation advice. The site offers resources for homebuyers, sellers, renters, agents, and real estate investors — including articles on appraisals, affordable housing, investment strategies, staging and property maintenance. Compass aims to help users make informed decisions across the housing lifecycle through timely market updates and practical how-to content.

📋 Description

• Map, understand, and translate business challenges into mathematical models and Operations Research simulations (optimization and simulation) • Implement robust computational models and solve them using appropriate mathematical solvers • Develop technologies, architectures, and software components that support and scale Operations Research operations • Deploy and maintain prescriptive models in production environments using containers and continuous integration/continuous delivery (CI/CD) pipelines • Apply large-scale optimization techniques and decomposition methods to solve complex problems • Integrate statistical and machine learning techniques for process optimization and demand forecasting • Create data visualizations and analytical reports to present results and support strategic decision-making • Collaborate with multidisciplinary teams and business areas to deliver end-to-end solutions • Follow and promote software engineering best practices, including version control, automated testing, debugging, and documentation

🎯 Requirements

• Strong experience with mathematical modeling techniques, linear programming (LP), and mixed-integer programming (MIP) • Practical experience developing in Python beyond data analysis, including code structure, algorithms, and best practices, and/or experience with C/C++ • Hands-on experience implementing optimization algorithms and integrating them with solvers • Knowledge of and experience applying large-scale optimization techniques and decomposition methods • Knowledge of programming technologies such as Java and Python, along with their main frameworks • Experience deploying analytical/prescriptive models to production, including containerization and CI/CD practices • Knowledge of DevSecOps principles • Knowledge of data analysis, statistics, and machine learning applied to optimization and demand forecasting • Proficiency in software development best practices, including Git, debugging, unit testing, validation, and code maintenance • Proficiency with data visualization libraries such as Plotly, Seaborn, or Matplotlib • Experience with the Pyomo library is a plus • Experience with commercial solvers such as Gurobi or CPLEX is a plus

🏖️ Benefits

• Meal and/or food allowance • Health and dental insurance • Health insurance for your pet • Home office allowance (for remote positions) • Welcome kit during onboarding • Life insurance • Zenklub, including psychological and nutritional support • TotalPass • Ongoing certification and professional development program with partners including Adobe, Anthropic, AWS, Google, Microsoft, and Salesforce • Partnerships and discounts to support your professional development • Access to UOL content • Maternity kit • Extended maternity and paternity leave • Employee referral program

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