Experian

Venture capital arm funding data startups

Mid-Level Data Scientist Analyst

Data ScienceConfirmed live in the last 24 hours

Full-timeSão Paulo, State of São Paulo, BrazilNo salary listed

About the Job

Requirements

Experience in Growth, Product, Data Science, or analytical fields.
Strong data orientation, analytical thinking, and ability to turn information into business insights.
Strong SQL knowledge for data extraction, processing, and analysis.
Experience with data visualization and Business Intelligence tools such as Power BI, Tableau, or similar tools.
Experience conducting and interpreting A/B tests and experimentation initiatives.
Knowledge of business metrics, conversion funnels, and performance indicators.
A higher-education degree in Statistics, Computer Science, Engineering, Economics, or a related field.
Experience with Python for data analysis, statistical modeling, and developing analytical solutions.
Knowledge of machine learning techniques, including regression, decision trees, and boosting algorithms.
Ability to communicate complex analyses and results clearly to technical and non-technical audiences.
Familiarity with cloud environments such as AWS, GCP, or Azure.

Responsibilities

Develop and evolve predictive models for payment propensity, offer recommendations, and discount pricing using behavioral, financial, and negotiation-history data.
Conduct experiments and A/B tests to validate hypotheses related to the product, customer journey, communications, and offer strategies.
Build and improve data pipelines and feature engineering in partnership with Data Engineering teams.
Apply analytical and machine learning techniques to generate insights that improve product performance and business results.
Translate complex analyses and results into clear, actionable recommendations for Product, Growth, and Risk teams.
Monitor key product metrics and identify opportunities for optimization and growth.
Collaborate with multidisciplinary squads, contributing to data- and evidence-driven decisions.
Ensure the quality and reliability of data used in models and analyses, supporting the ongoing development of business strategies and solutions.

Desired Qualifications

Previous experience with credit products, collections, credit recovery, or credit scoring.

Job Description

Desenvolver e evoluir modelos preditivos de propensão a pagamento, recomendação de ofertas e precificação de descontos, utilizando dados comportamentais, financeiros e históricos de negociação.
Conduzir experimentos e testes A/B para validar hipóteses relacionadas ao produto, jornada do cliente, comunicação e estratégias de oferta.
Construir e aprimorar pipelines de dados e engenharia de features em parceria com os times de Engenharia de Dados.
Aplicar técnicas analíticas e de machine learning para gerar insights que impulsionem a performance do produto e os resultados do negócio.
Traduzir análises e resultados complexos em recomendações claras e acionáveis para as áreas de Produto, Growth e Risco.
Monitorar e acompanhar métricas-chave do produto, identificando oportunidades de otimização e crescimento.
Atuar de forma colaborativa com squads multidisciplinares, contribuindo para decisões orientadas por dados e evidências.
Garantir a qualidade e a confiabilidade dos dados utilizados nos modelos e análises, apoiando a evolução contínua das estratégias e soluções do negócio.

Qualifications

Experiência em Growth, Produto, Ciência de Dados ou áreas analíticas.
Forte orientação a dados, pensamento analítico e capacidade de transformar informações em insights de negócio.
Sólidos conhecimentos em SQL para extração, tratamento e análise de dados.
Experiência com ferramentas de visualização e Business Intelligence, como Power BI, Tableau ou similares.
Vivência na condução e interpretação de testes A/B e iniciativas de experimentação.
Conhecimento de métricas de negócio, funis de conversão e indicadores de performance.
Formação superior em Estatística, Ciência da Computação, Engenharia, Economia ou áreas correlatas.
Experiência com Python para análise de dados, modelagem estatística e desenvolvimento de soluções analíticas.
Conhecimento em técnicas de Machine Learning, incluindo regressão, árvores de decisão e algoritmos de boosting.
Capacidade de comunicar análises e resultados complexos de forma clara para públicos técnicos e não técnicos.
Familiaridade com ambientes de nuvem, como AWS, GCP ou Azure.
Experiência prévia em produtos de crédito, cobrança, recuperação de crédito ou credit scoring será considerada um diferencial.

Additional Information

Our uniqueness is that we celebrate yours. Experian's people first, inclusive and purpose driven culture is multi award-winning; World's Best Workplaces™ 2025 (Fortune Global Top 25), Great Place To Work™ in 26 countries to name a few. Check out Experian Life on social or explore our Careers Site to understand why. Experian is also proud to be an Equal Opportunity and Affirmative Action employer. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.

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About the Company

Experian

Venture capital arm funding data startups

Experian Ventures is the venture capital arm of Experian, a global information services company. It provides investment capital and strategic partnerships to startups, helping them grow by leveraging Experian's data assets, technology, and global network. The fund focuses on backing entrepreneurs who can disrupt data- and tech-driven markets, using Experian's platforms and reach to accelerate portfolio companies. Unlike standalone funds, it differentiates itself with access to Experian's scale, data resources, and worldwide offices, enabling closer collaboration and faster go-to-market support. The goal is to fund and mentor startups that can shape the future of information services while expanding Experian's ecosystem and influence across regions.

Company size: 1-10
Company stage: Not listed
Total funding: $82M
Headquarters: Costa Mesa, CA
Founded: 1995

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