AI Innovation Engineer (Engenheiro de Inovação) São Paulo (Hybrid)

Ready to accelerate your career

What youll do

Were looking for aData Scientist to join our Risk Data Science this role you will be instrumental in analyzing complex datasets to generate insights that drive critical business decisions specifically within credit risk fraud prevention and churn reduction. You will work cross-functionally to design build and deploy data-driven strategies that ensure Clara continues to scale securely and efficiently.

• Define and solve complex problems: Collaborate with cross-functional teams to identify business challenges propose end-to-end solutions and execute strategies that align with company objectives.

• Drive data understanding and insights: Explore and interpret large datasets using SQL and Python to identify patterns anomalies and trends. You will translate these findings into actionable insights that support informed decision-making.

• Build and deploy predictive models: Design develop and monitor machine learning models using Databricks MLflow scikit-learn and PyTorch. You will follow the CRISP-DM methodology to ensure rigorous modeling standards from conception to production.

• Ensure data quality and integrity: specific responsibilities include cleaning and transforming raw data to ensure it is suitable for analysis applying data quality checks and maintaining validation rules.

• Innovate and automate: Continuously monitor model performance and data drift while staying updated on advancements in AWS cloud infrastructure and statistical methods to refine our analytical approaches.

Who you are

Were looking for someone who meets the minimum requirements to be considered for the role. The preferred qualifications are a bonus not a requirement.

Must haves

• 5 years of experience in data science or analytics with a minimum of 2 years of hands-on experience developing risk models (e.g. credit fraud or churn).

• Strong technical proficiency in Python and SQL for data manipulation querying and statistical analysis.

• Proven experience working with cloud-based platforms specifically AWS and Databricks.

• Hands-on experience with ML platforms and libraries such as MLflow scikit-learn and PyTorch.

• Working proficiency in English.

• Strong problem-solving abilities with the capacity to communicate complex modeling processes to non-technical stakeholders.

• A degree in Data Science Computer Science Mathematics Statistics or equivalent practical experience.

• Adaptability to fast-changing high-growth environments.

Nice to haves

• Experience with data visualization tools such as Metabase.

• Solid understanding of data engineering concepts and ETL processes.

• Experience taking data workflows or models from development to production.

• Masters degree in Data Science or a related field.

• Basic proficiency in Spanish (or a desire to learn it).

Why join Clara

At Clara youll have the autonomy speed and support to make meaningful impact not just on your team but on how organizations are run across Latin America.

Who we are

• Were the leading B2B fintech for spend management in Latin America.

• Certified as one of the worlds fastest-growing companies a Great Place to Work and a LinkedIn Top Startup.

• Passionate about making Latin America more prosperous and competitive.

• Constantly innovating to build financial infrastructure that enables each of our customers to thrive.

• Product-led high-talent-density culture designed for builders who raise the bar.

• Proud of our open inclusive and values-driven environment.

What we believe in

• #Clarity. We say things clearly directly and proactively.

• #Simplicity. We reduce noise to focus on what really matters.

• #Ownership. We take responsibility and never wait to be told.

• #Pride. We build products and experiences were proud of.

• #Always Be Changing (ABC). We grow through feedback risk-taking and action.

• #Inclusivity. Every voice counts. Everyone contributes to our mission.

What we offer

• Competitive salary and stock options (ESOP) from day one

• Multicultural team with daily exposure to Portuguese Spanish and English (our corporate language)

• Annual learning budget and internal accelerated development paths

• High-ownership environment: we move fast learn fast and raise the bar together

• Smart ambitious teammates low ego high impact

• Flexible vacation and hybrid work model focused on results

If youre ready for growth ownership and impact apply now and help us redefine B2B finance in Latin America.

Claras Hybrid Policy

Claridians in a hybrid mode split their time between working from the office talking to or visiting customers or working from home. This hits a balance between bringing people together for in-person collaboration and learning from each other while supporting flexibility about how to do this in a way that makes sense for each individual and team.

We dont enforce a minimum number of days for most roles but youre expected to spend time at the office organically and be at the office most days during your ramp-up or when required by your leader.