Data Scientist

Progress Rail Brasilvia BeBee

São PauloPlenoCLTHoje

Salário Estimado

R$ 9.360,00 - R$ 14.040,00

Tecnologias

Python Go AWS Machine Learning IA Data Science

0de 100

Bom

Score da Vaga

Descrição da Vaga

Progress Rail’s data science team is looking for a motivated and talented Data Scientist who will primarily focus on developing Machine Learning/Artificial Intelligence based data models for condition-based monitoring of its assets.

In this role, the candidate will contribute to the design, development and deployment of world class rail products and services vital to our customer’s needs.

The ideal candidate is an experienced self-starter, strong attention to details, with excellent written and verbal skills.

Enjoys working in a collaborative, fast-paced, environment and is willing to take on roles outside of comfort zone.

Technical aptitude and being well versed in Data Science tools and processes is a must.

The role will work closely with the different engineering teams.

About us: As a Caterpillar company, Progress Rail is one of the largest integrated diversified providers of locomotive, freight car and infrastructure solutions and technologies for the global rail industry.

Our team's deep industry expertise ensures a commitment to quality through innovative solutions.

Key Job Elements • Contribute to the design, development, testing, and deployment of software systems and applications.

•Processing, cleansing, and verifying the integrity of data used for analysis. • Apply Machine Learning and other advanced analytical techniques to develop models for condition-based monitoring of locomotive systems.

•Apply Natural Language Processing (NLP) and Large Language Model (LLM) to support text mining, document summarization and others. • Understand the business needs and develop data-based solutions.

•Doing ad-hoc analysis and presenting results in a clear manner. • Supporting field reported issue resolution through data analysis.

•System integration of Machine Learning models.

Education Requirements • B.

S, M.

S, or PhD degree in quantitative discipline such as data science, data analytics, computer science, engineering, statistics, mathematics, or other related degree.

Technical Skill • Proficiency in Python, SQL, and relational database systems.

•Hands-on experience across the entire data science project lifecycle , including data acquisition, data cleaning, data engineering, feature scaling, feature engineering, model testing, validation, and data visualization. • Practical application of machine learning algorithms, such as regression models, XGBoost, neural networks, and others.

•Development of LLM‑based solutions for document search and summarization using RAG architecture. • Strong applied statistics skills , including distributions, statistical tests, regression techniques, and related analyses.

•Experience with AWS cloud services , including container services, S3, and additional relevant components. • Advanced data visualization capabilities , using tools such as Power BI and Python Matplotlib to build clear, interactive, and actionable dashboards and reports.

•Strong business acumen , with the ability to communicate data-driven insights effectively to both technical and non‑technical audiences.

Desirable:

•Expertise in Natural Language Processing (NLP) and text mining.

•Work experience in an operations control center or in railway operations planning.

Language: Advanced English.

Direct interface with global teams.

Soft Skills:

•Compatibility with Our Values in Action (Caterpillar Code of Conduct);

•Autonomy : Being able to manage yourself, deal with a large number of tasks and solve minor problems proactively and responsibly. • Creativity : Proposing innovative and original solutions in order to add value to processes and increase the company's competitiveness.

•Communication : Can clearly express ideas, thoughts and concepts in order to influence others or gain support. • Analytical Ability: The ability to analyze data and information, regardless of their the relationship between them, to enable logical decision-making, based on data.

Additional Information: The selection process will be carried out through CV analysis, interviews, a technical test and professional profile mapping (DISC).

What we are offering for this position:

•CLT contract

•Health insurance for you and your dependents • Dental plan for you and your dependents

•Meal vouchers • Food voucher

•Life insurance • Application for discounts at gyms

•Application for discounts on medicines in pharmacies • PLR - Profit Sharing

•Private pension plan • Continuing education

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Informações

NívelPleno

ContratoCLT

LocalSão Paulo

RemotoNão

MoedaBRL

PublicadaHoje

FonteBeBee

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