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. Reporting to the Director of Data Science, this role will enable innovative, strategic, and high-tech solutions for the rail industry through the application of specialized knowledge, skills, and abilities. Work involves independent judgement, problem solving skills, resourcefulness, teamwork, and creativity in ambiguous situations. A high degree of personal initiative is a prerequisite. Typical data science team efforts are a combination of some, or all the key job elements listed below. 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 Machine Learning and 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. Qualifications and 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. Data science experience with B.S. or experience with Advanced degrees. Experience with Python, SQL, and relational data bases. Technical Skill Experienced Data Scientist with experience in Data Extraction, Data Modelling, Data Wrangling, Statistical Modeling, Data Mining, Machine Learning and Data Visualization. Expertise in transforming business resources and requirements into manageable data formats and analytical models, designing algorithms, building models, developing data mining, and reporting solutions that scale across a massive volume of structured and unstructured data. Proficiency in managing entire data science project life cycle and actively involved in all the phases of project life cycle including data acquisition, data cleaning, data engineering, features scaling, features engineering, testing and validation and data visualization. Expertise in applying Machine Learning algorithms (such as Regression Models, XGBoost, Neural Network, and others) for predictive analytics. Experience in developing LLM based solutions for document search/summarization using RAG architecture. Experience in Natural Language Processing (NLP) and Text Mining. Expertise in applied statistics skills, such as distributions, statistical testing, regression, etc. Strong experience with Python. Experience with SQL is preferred. Experience and knowledge of AWS cloud which includes AWS container services, S3, and others. Experience in integrating Machine Learning models into larger deployed systems. Proficiency in data visualization tools such as PowerBI and Python Matplotlib to create visually powerful and actionable interactive reports and dashboards. Strong business sense and abilities to communicate data insights to both technical and non-technical clients. Competent to perform all job duties without close supervision. Desired: Rail industry experience. Experience in developing models using telematics (sensor) data from equipment such as engines, machines, and others. Language: Advanced English. Direct interface with global teams. Reporting to a director in the US. 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. 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 - Application for online therapies with psychologists - PLR - Profit Sharing - Private pension plan - Continuing education allowance - Extended maternity and paternity leave Those interested in participating in the process should send their resume to rh.campinasprogressrail.com or apply through the simplified application on LinkedIn.