Data Scientist Lead

Disclaimer

This role is open to all candidates across LATAM, not just posting location.

Job Description

Lead and inspire a high‑performing team of data scientists in developing advanced algorithms, constructing robust data models, and conducting predictive analysis.

This role works closely with credit risk and fraud teams to contribute to strategic data initiatives, fostering continuous improvement and leveraging insights to enhance decision‑making.

With a strong focus on innovation and business impact, you will shape the company’s analytical strategy, driving data‑driven transformation and positioning analytics as a key business enabler.

Responsibilities

• Leadership and management of a high‑performing data science team, fostering a culture of innovation and excellence.
• Driving innovative data science initiatives to transform strategic decision‑making and enhance business efficiency.
• Development and implementation of advanced algorithms to solve complex challenges.
• Designing and optimizing scalable data models to drive actionable insights and long‑term value.
• Conducting predictive analysis to uncover business opportunities and mitigate risks.
• Collaboration with cross‑functional teams and key stakeholders to align data strategies with business goals.
• Leading strategic planning for data‑driven initiatives with a strong focus on impact and business transformation.
• Providing mentorship, training, and career development opportunities for the team.
• Identifying and executing process improvements that enhance operational efficiency and model performance.
• Effectively communicating data‑driven insights and recommendations to influence key business decisions.

Skills

• Proven leadership in high‑impact data science teams, fostering innovation and excellence.
• Project oversight and coordination for end‑to‑end data science projects.
• Experience driving data‑driven strategies in Credit Risk and Fraud, enhancing detection and mitigation.
• Expertise in developing and implementing advanced machine learning algorithms.
• Proficiency in designing and scaling robust, high‑performance data models.
• Strong experience in predictive analytics to uncover trends and drive business decisions.
• Effective collaboration with cross‑functional teams using modern collaboration tools.
• Strategic planning for data initiatives with a focus on business transformation.
• Mentoring and upskilling team members to elevate technical expertise and business impact.
• Proactive identification and execution of data‑driven process optimizations.
• Clear and persuasive communication of complex data insights to senior stakeholders.

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
• 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 don’t enforce a minimum number of days for most roles, but you’re 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.

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