Senior Data Scientist

Our Company Tenchi is a Cyber Security company building innovative technology focused on Third-Party Cyber Risk Management for businesses. Founded by serial entrepreneurs and supported by solid institutional investors, we are driven to disrupt this fast-growing industry. Tenchi was created to tackle a real challenge: companies often face security risks because their third-parties don’t maintain the same level of cyber protection. This gap leaves even the largest organizations potentially vulnerable to incidents they can’t directly control. That’s exactly where we step in. Our TPCRM SaaS solution, Zanshin, is the only global TPCRM solution that offers both inside-out and outside-in visibility - combining external attack surface monitoring with automated, continuous, and non-intrusive assessments of cloud infrastructure (IaaS, PaaS, SaaS) and security controls. Our People and Culture At Tenchi, we build innovative technology to help companies secure their ecosystems with transparency and peace of mind. We are ambitious and purpose-driven. Our culture is rooted in intentionality, transparency, and action. We move fast, communicate openly, and invest in people who want to make an impact. As a 100% remote company with team members across Brazil, the US, Canada, Argentina, and Spain, we embrace flexibility while solving meaningful challenges together. 🎥 Want to know more about our DNA? Watch the video. https://www.youtube.com/watch?v=HK8J07hWv30&feature=youtu.be Key Responsibilities: Analyze and interpret large datasets to identify trends and patterns related to cyber security posture and risk. Collaborate with cross-functional teams and customers to build and maintain data-driven models and visualizations that improve user experience and decision-making. Develop and maintain queries and transformations to extract and manipulate data from multiple sources. Contribute to ongoing efforts to optimize data processes and reporting frameworks. Proficiency in SQL for data extraction, transformation, and analysis. Experience in Python for data analysis, with the ability to perform basic data analysis, transformations and scripting. Strong experience with visualization of complex datasets. Ability to communicate technical insights to non-technical stakeholders effectively. Familiarity with the security domain is a plus. Familiarity with formal risk and scoring methodologies, regardless of the domain, is a plus. English communication skills.