···
Log in / Register

Data Scientist - MLOps

Indeed
Full-time
Onsite
No experience limit
No degree limit
R. Candelária, 541 - Centro, Indaiatuba - SP, 13330-180, Brazil
Favourites
Share
Some content was automatically translatedView Original

Description

Job Summary: We are seeking a Data Scientist to develop advanced analytical solutions, support decision-making, and identify data usage opportunities. Key Highlights: 1. Develop advanced analytical solutions 2. Identify data usage opportunities and develop models 3. Contribute to a more efficient and connected future for Brazil Working at **Rumo** means being part of something big: every train that departs, every track maintained, every operation conducted safely makes a difference in the lives of thousands of people and companies every day. Here, we value those who learn by doing, who roll up their sleeves and take pride in seeing the results of their own effort take shape and move forward. We know nothing happens alone: movement is collective, built on partnership, care, and trust among teams. If you enjoy tackling real challenges, working with purpose, and want to contribute to a more efficient and connected future for Brazil, your journey can begin here. **Join the movement. \#VemPraRumo** **About the Position** **Responsibilities and Duties** **About the Position** We are looking for a Data Scientist to develop advanced analytical solutions applied to complex operational problems. The professional will identify data usage opportunities, develop statistical and machine learning models, and build solutions that directly support business decision-making. The developed solutions are used by operational and strategic areas, influencing key decisions related to operational efficiency and performance. The professional will work within a structured data environment, including analytical pipelines, code versioning, and collaboration with data engineering and technology teams. **Responsibilities and Duties** Business Understanding and Analytical Structuring: * Act as a strategic partner to business areas to identify data usage opportunities. * Translate business problems into analytical solutions, statistical models, and *machine learning* applications. * Formulate analytical hypotheses and conduct exploratory analyses to identify patterns, trends, and opportunities. * Identify cause-and-effect relationships between variables and propose quantitative approaches to investigate these relationships. **Analytical Solution Development:** * Develop statistical models, *machine learning* algorithms, and advanced analytical solutions. * Apply optimization and operations research techniques to support decisions and improve process efficiency. * Conduct analytical experimentation and comparative testing between approaches for continuous solution improvement. * Ability to compare analytical approaches and *machine learning* models, evaluating *trade\-offs* between performance, interpretability, and alignment with the business problem. **Analytical Engineering and Operationalization:** * Structure, prepare, and transform large volumes of data from diverse sources. * Develop data pipelines and *feature engineering* workflows that ensure reproducibility, scalability, and operationalization of analytical models. * Collaborate with data engineering and *MLOps* teams on implementation and monitoring of solutions in production environments. **Communication and Decision-Making:** * Develop visualizations and analyses to aid interpretation of model results and communication of insights to business areas. * Present results, insights, and recommendations clearly to both technical and executive audiences. * Support the dissemination of a *data\-driven* culture across the organization. **Governance and Best Practices** * Ensure best practices in data and analytical model quality, governance, and documentation. * Contribute to evolving practices in analytical development, experimentation, and model monitoring. **Education and Qualifications** Bachelor’s degree completed in fields such as: Statistics, Mathematics, Engineering, Computer Science, Economics, Physics, or related disciplines **Technical Requirements** * Experience in data analysis and modeling. * Experience in programming for data analysis (*Python, Spark*, R, or similar). * Experience in SQL queries and data manipulation. * Knowledge of applied statistics and analytical modeling techniques. * Experience with code versioning and development best practices (Git). * Ability to structure business problems and translate them into analytical solutions. * Experience deploying *machine learning* models in production environments. * Practical experience with *machine learning* libraries and *frameworks* (e.g., scikit\-learn, TensorFlow, PyTorch, or similar). **Preferred Qualifications** * Experience with analytical pipelines and model reproducibility. * Knowledge of data engineering or data pipeline construction. * Experience with cloud-based data environments (AWS, Azure, or GCP). * Experience with monitoring and continuous evolution of analytical models. * Experience in analytical projects within large enterprises or complex operational environments. * Certifications in *cloud* platforms (AWS, Azure, or GCP), especially related to data, *machine learning*, or solution architecture. **Behavioral Competencies** * Analytical thinking and systemic vision. * Clear communication with both technical and business areas. * Consulting profile oriented toward problem resolution. * Prioritization and organizational skills. * Collaboration and teamwork. **Requirements and Qualifications** **Additional Information** **Work Model** * **Work Regime:** Hybrid * **Employment Type:** CLT * **Work Location:** Indaiatuba\-SP * **Working Hours:** Monday to Friday **Benefits Package** * Meal Allowance * Food Voucher * Transportation Voucher * Profit Sharing Program (PPR) * Railway Safety Bonus * Private Pension Plan * Credit Cooperative * Payroll Deductible Loan * Wellhub * Health Plan * Dental Plan * Surgical Instrumentation * Pharmacy Assistance * Life Insurance * Funeral Assistance * Comprehensive Assistance Program from Pregnancy through Postpartum * Extended Parental Leave * School Supplies * Daycare Assistance * Christmas Toy * Christmas Kit * Psychological, Legal, and Financial Assistance Program * Club of Benefits and Discounts * Corporate University **\#VemPraRumo** **About Rumo** We are Brazil’s largest railway logistics operator, crossing the country from North to South across nearly 14,000 km of rail lines — a distance equivalent to traveling from São Paulo to Australia. We are the logistics solutions company of the Cosan Group, with the purpose of moving Brazil and feeding the world — far beyond railways — and you can be part of this movement alongside our \+8,000 passionate collaborators! **Our Culture** At Rumo, we are united by our unique way of being and doing — our DNA. We use the four letters of our name to guide our daily attitudes: **Here, \#RespectMatters!** We believe work and growth opportunities must be equal for everyone, and we know that a diverse and plural team is the path to continued innovation and evolution! Our job openings are open to **all individuals**, regardless of gender identity or expression, sexual orientation, religion, ethnicity or race, age, neurodiversity, disability status, citizenship, or any other characteristic that makes you unique. **\#VemPraRumo** **Learn more about Rumo: https://rumolog.com/** We are **Brazil’s largest private freight railway operator**, offering a safe, competitive, and low-carbon logistics solution to support the growth of Brazilian agribusiness. We cross Brazil **from North to South**, managing approximately **14,000 kilometers** of railway lines across the states of Paraná, Santa Catarina, Rio Grande do Sul, São Paulo, Mato Grosso do Sul, Mato Grosso, Minas Gerais, Goiás, and Tocantins. Our asset base comprises **1\.400 locomotives** and **35,000 freight cars**. We have over **8,000 employees** across Brazil. Learn more about **Rumo Logística**

Source:  indeed View original post
João Silva
Indeed · HR

Company

Indeed
Cookie
Cookie Settings
Our Apps
Download
Download on the
APP Store
Download
Get it on
Google Play
© 2025 Servanan International Pte. Ltd.