Alephnet jobs and careers

About Alephnet

Data science and AI help organizations extract value from a world of data regardless of source & format. Data-enabled business models help drive better decisions and contextual actions. Empowered firms accelerate value creation scaling both quality & volume to outperform competitors Alephnet works with organizations to; 1. Define & solve challenges leveraging data science, analytics & AI technologies to improve outcomes 2. Solve resourcing challenges through flexible access to multidisciplinary expertise & modular backend options dynamically aligned to changing circumstances We have developed & utilize specialized libraries underpinning product solutions to broad industry challenges in Banking, Energy, Retail, CRE Augmenting human-powered business operations & management with machine-driven intelligence requires interdisciplinary teams including data scientists with non-overlapping complementary skills. This broadly manifests in resourcing challenges for 2 categories of organizations * With sufficient scale and complexity to derive substantial value from digital transformation but lack the expertise to advance. These firms have already been struggling in a polarizing digital economy. Data science is intensifying that struggle * With digital maturity, & footprint - interdisciplinary teams facing specific resourcing challenges that impede progress & where speed matters delays are expensive Best-in-class data scientists in multidisciplinary teams and the capabilities of high-tech solutions are made accessible -flexible, fractional engagement models- through data science as a service just like any other web service If organizations want to thrive in the data science and AI era they need to find new ways to compete and address the resourcing gaps We are a team with a bold vision of making data science accessible & a mission to enable every company to connect data insights to aspirational outcomes -- Imprint: https://www.alephnet.ai/imprint/

Founded in 2021 by Andrea Sotgiu, Dominik P.H. Kalisch and Kaveh Abhari.