Especialista Cientista de Dados
Serasa Experian · São Paulo, São Paulo, Brazil
- On site
- Full-time
- $100,000 / year
- São Paulo, São Paulo, Brazil
Job highlights
- Lead data science projects using ML and GenAI.
- Manipulate and analyze large datasets efficiently.
- Collaborate with cross-functional teams on data solutions.
- Explore new data sources and technical innovations.
- Present insights to stakeholders and executives.
About the role
About Serasa Experian
A Serasa Experian is the first and largest Datatech in Brazil. A leader in intelligence solutions for risk and opportunity analysis, focusing on credit journeys, authentication, and fraud prevention. With cutting-edge technology, innovation, and the best talent, it transforms risk uncertainty into the best decision, helping people achieve their dreams and companies of all sizes and segments to thrive.
We have 22,000 people operating in 32 countries and every day we are investing in new technologies, talented professionals, and innovation to help all clients maximize every opportunity. Headquartered in Dublin, Ireland, Experian is listed on the London Stock Exchange (EXPN) and is part of the FTSE 100 index.
About the Role
The DataLab is the research and innovation unit of the Experian group in Latin America together with Serasa Experian in Brazil. Our objective is to be proactive, anticipating the future, and consultative, identifying opportunities for evolution in the market, through Artificial Intelligence and Machine Learning techniques combined with the use of new data sources.
We create advanced innovative solutions that help clients and the market prepare today for tomorrow's more assertive decisions. We also have a 360º view to exchange with the best in the global sphere, considering the whole and producing solutions capable of achieving great scalability.
As a Data Scientist Specialist, you will have a central role in the team, using your experience and knowledge in Machine Learning, GenAI, programming, data processing, and analysis to technically lead projects with engineering and business teams.Key Responsibilities
- Propose and implement advanced data analyses and Machine Learning models;
- Efficiently manipulate large volumes of data;
- Collaborate with Data Engineering, Software Engineering, Product, and Business teams to understand needs, suggest data-driven solutions, and positively influence project direction;
- Continuously explore new data sources and technical innovations;
- Stay updated with the latest research and advancements in GenAI and Machine Learning.
- Present results and recommendations to stakeholders and executive teams;
- Design data-driven product development roadmaps in line with business needs;
- Conduct agile experiments and tests for conclusive decisions.
What We Are Looking For
- Bachelor's degree in Data Science, Statistics, Computer Science, Engineering, Physics, or related fields;
- Solid knowledge of Python, especially in data manipulation, analysis libraries (e.g., Pandas, Numpy), and Machine Learning frameworks (e.g., scikit-learn, TensorFlow);
- Experience in manipulating large databases, especially those stored in a Hadoop environment (HDFS), distributed data processing (PySpark), and SQL language;
- Experience in developing and deploying Machine Learning models, with good knowledge of model validation, tuning, and monitoring;
- Experience in code versioning;
- Ability to understand and solve business problems versatilely and agilely;
- Communication skills with peers, partner areas, and executives, including presentations and translating insights into business actions;
- Collaboration and teamwork;
- Continuous learning;
- Advanced English;
- Availability for hybrid work (2x per week) in São Paulo/SP (Chácara Santo Antônio).
Differentiators
- Master's or PhD in a related field;
- Knowledge and experience with graph processing and complex networks;
- Knowledge of GenAI frameworks such as LangChain, LangGraph, Agno, or equivalents;
- Previous experience in corporate products based on LLMs, RAG, MCP, and multi-agent systems.
Qualifications
Data science, Python, Coding, Big data, AI, Statistics
Additional Information
Serasa Experian is much more than you imagine. With the purpose of creating a better future, expanding opportunities for people and companies, in Brazil we are more than 4,000 people working in various teams and specialties. Here, every knowledge and diversity complements each other, and you can work in what you love most. We are committed to building an inclusive culture and an environment where people can balance their careers with their personal commitments and interests, valuing well-being.
We dedicate ourselves to being one of the best and most innovative companies to work for in the country, enabling incredible experiences and careers for our people. Our strong people-first approach is externally recognized through various market certifications: we have been awarded by Great Place To Work™ in 24 countries and by the international Top Employers certification, in addition to being recognized as one of the best companies for young professionals and having a rating of 4.6 on Glassdoor. Each recognition indicates that we are on the right path, providing an ever-better work environment for our talent.
Experian Careers - Creating a better tomorrow together
Find out what it's like to work for Experian by clicking here
Key skills/competency
- Data Scientist Specialist
- Machine Learning
- GenAI
- Python
- Data Analysis
- Big Data
- Hadoop
- PySpark
- SQL
- Model Deployment
Skills & topics
- Data Scientist
- Machine Learning
- GenAI
- Python
- Data Analysis
- Big Data
- Hadoop
- PySpark
- SQL
- Model Deployment
- Statistics
- Artificial Intelligence
How to get hired
- Tailor your resume: Highlight Python, Machine Learning, GenAI, and big data skills.
- Showcase your projects: Emphasize experience with large datasets, SQL, and PySpark.
- Quantify achievements: Use data to demonstrate impact in previous roles.
- Prepare for technical interviews: Brush up on algorithms, statistics, and coding.
- Demonstrate business acumen: Show how you solve problems with data.
Technical preparation
Behavioral questions
Frequently asked questions
- What is the primary focus of the DataLab at Serasa Experian?
- The DataLab at Serasa Experian focuses on research and innovation in Latin America, utilizing AI and Machine Learning with new data sources to create advanced solutions and anticipate future market needs.
- What are the core technical skills required for the Data Scientist Specialist role?
- Key technical skills include strong Python proficiency (Pandas, Numpy, scikit-learn, TensorFlow), experience with big data environments (Hadoop, HDFS, PySpark), SQL, and a solid understanding of Machine Learning model development, validation, tuning, and monitoring.
- What kind of business problems will a Data Scientist Specialist address at Serasa Experian?
- The role involves solving diverse business problems using data, suggesting data-driven solutions, designing data-driven product roadmaps, and translating data insights into actionable business strategies.
- Is this a remote or on-site position?
- This is a hybrid position, requiring 2 days per week in the São Paulo/SP office (Chácara Santo Antônio), with the remaining days being remote.
- What are the 'differentiators' that would make a candidate stand out for this role?
- Differentiators include a Master's or PhD in a related field, experience with graph processing, knowledge of GenAI frameworks (LangChain, etc.), and prior work with LLM-based products (RAG, MCP, multi-agent systems).
- How does Serasa Experian foster an inclusive work environment?
- Serasa Experian is committed to building an inclusive culture where employees can balance career and personal life, valuing well-being. They have received recognitions like Great Place To Work™ and Top Employers for their efforts.
- What is the role of GenAI in this Data Scientist Specialist position?
- GenAI is a key area of focus, with responsibilities including staying updated on its advancements and potentially implementing solutions using frameworks like LangChain, LangGraph, or Agno, especially for corporate products.
- What does 'DataLab' mean within the context of Experian in Latin America?
- DataLab is the dedicated unit for research and innovation within Experian in Latin America, specifically working with Serasa Experian in Brazil to push the boundaries of AI and Machine Learning.