Data Scientist Lead

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

Clara:

Clara is an end-to-end corporate spend management solution for growing businesses in Latin America. We’re creating the future of how company finances are run and helping our customers be more successful. Our credit cards and spend management solution are already being used by the top companies in LatAm. We’re backed by the leading regional and global investors, such as DST Global, monashees, Kaszek, Canary, Picus Capital, Avid Ventures, SV Angel, and more. We’re looking for the best talent in the region (and beyond) to join us on this journey.

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.