If you are passionate about innovation and seek to work in an environment that fosters agility, collaboration, and challenges, this could be your opportunity! For our **Data & AI** team, we are looking for someone with a strong foundation in Python and SQL, experience in Machine Learning with models in production, and hands-on practice with large-scale data. Additionally, it is essential to translate technical concepts into business value, collaborate effectively across departments, and demonstrate flexibility to adapt to changing contexts. Your mission will be to develop and operationalize ML models in the credit domain, as well as collaborate on metrics and advanced analytics—ensuring solutions scale to handle high-volume transactions and deliver measurable business impact. **Responsibilities and duties** * Collaborate closely with Credit teams, including Policy, Analysis, Monitoring, and Collections. * Lead end-to-end Data Science projects—from problem definition and scoping with Product/Operations, solution design, experimentation, through to production deployment. * Conduct routine monitoring of data drift and concept drift using frameworks such as NannyML. * Perform analyses, identify patterns and insights to improve the efficiency of our Credit operations. * Develop and maintain metrics, KPIs, reports, and dashboards related to our Credit products and operations. * Stay updated on best practices in applied Data Science and development productivity (including AI-assisted development tools), evaluating and proposing improvements aligned with context and delivery quality. **Requirements and qualifications** * Solid knowledge of applying Machine Learning techniques and statistical modeling to business problems (e.g., regression, classification, time series). * Experience with application, behavior, or collection models; credit metrics and KPIs—especially postpaid credit cards for corporate clients (PJ). * Proficiency in SQL, Python, and Spark for manipulation and analysis of large datasets. * Familiarity with code versioning practices (Git). * Strong foundation in Statistics, Statistical Inference, and Hypothesis Testing. * Completed undergraduate degree or equivalent practical experience in Computer Science, Engineering, Statistics, Mathematics, Physics, or related fields. **Additional information** **Differentiators** * Experience with Databricks (Declarative Automation Bundles, Model Serving, Unity Catalog) for developing Machine Learning models. * Experience with Receivables Anticipation products. * Experience with Causal Inference: Power Analysis, Regression with Controls, Instrumental Variables, or Bayesian methods. * Experience building AI agents to automate manual routines (using behavioral skills and specs, agent orchestration tools such as OpenClaw and Hermes, and Evals to assess LLM outputs, etc.). * Familiarity with AWS. * Experience with MLOps frameworks (especially MLFlow). **Work model** * 8-hour daily schedule (Monday to Friday) * CLT employment contract. **We are a Fintech**, a Payment Institution accredited by the Central Bank of Brazil, and **our purpose is to maximize enterprise productivity through technology.** We offer a comprehensive solution for receivables management, payments, receivables anticipation, and serve over 200,000 customers—including self-employed professionals, microentrepreneurs (MEI), and large enterprises. Our dream began in 2010 in Joinville/SC, and we believe the sky is not the limit for our growth. That’s why our team is now spread across many regions of Brazil! **Over 1,000 people dream together with Asaas—collaboratively, innovatively, efficiently, with autonomy and freedom to soar high.** Soaring high requires resources to live and work better—and freedom to manage them. That’s why we welcome and care for our team by offering benefits that support personal and professional growth: **For health and well-being:** We provide comprehensive medical and dental insurance (no co-payment), life insurance, medication purchase assistance, and physical activity support. Additionally, Neon is our partner for financial wellness, and Zenklub supports physical and mental health (we offer 4 free monthly therapy or nutritionist sessions). At our headquarters, we also offer *quick massage.* **For meals and family:** Our flexible meal benefit is delivered via a Visa-branded credit card—the balance can be used however each person prefers. At our headquarters, we offer *free food*, and for families, we provide daycare assistance, parental support programs, and extended maternity and paternity leave. **For education and growth:** Beyond an environment full of challenges and continuous development, we offer an in-house training platform and an education assistance program covering 70% of tuition fees for undergraduate degrees and language courses—as well as purchases of courses and books—so our team never stops learning. **For high-quality remote work:** We offer a Home Office allowance, work equipment, furniture assistance, and a partnership with WOBA, enabling our employees to use coworking spaces across Brazil whenever desired. Explore our headquarters in Joinville/SC with **this virtual tour**! **Extras—because the Dream Team deserves them:** We offer a birthday Day Off, Happy Hour allowance, referral bonuses, annual goal-based bonuses, a Stock Options plan, and a relaxed, no-dress-code environment!
João Silva
Indeed · HR
João Silva
Indeed · HR
