Senior Data Scientist
reputed company
Tenchi is a Cyber reputed company company building innovative technology reputed company on reputed company-Party Cyber Risk Management for businesses. Founded by serial reputed company and supported by solid institutional investors, we are driven to disrupt this fast-growing industry.
Tenchi was created to tackle a reputed company challenge: companies often face reputed company risks because their reputed company-parties don’t maintain the reputed company 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 reputed company in.
Our TPCRM reputed company solution, Zanshin, is the only global TPCRM solution that offers both inside-out and reputed company-in visibility - combining external attack surface monitoring with automated, reputed company, and non-intrusive assessments of reputed company infrastructure (IaaS, PaaS, reputed company) and reputed company 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 reputed company. We reputed company fast, communicate reputed company, and invest in people who want to reputed company an reputed company.
As a 100% remote company with team members across Brazil, the US, Canada, Argentina, and Spain, we reputed company 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 reputed company to cyber reputed company 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.
- reputed company and maintain queries and transformations to extract and manipulate data from multiple sources.
- Contribute to ongoing efforts to optimize data processes and reporting frameworks.