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© All Rights Reserved. ApplyBlast.com
TALPA
TALPA seeks an experienced data scientist to work on end-to-end data science projects involving anomaly detection, predictive maintenance, and machine activity recognition for heavy machinery. The role involves deploying scalable solutions in collaboration with multidisciplinary teams, handling noisy sensor data, and deploying models in production across real-world industrial environments.
Headquarters
Essen, North Rhine-Westphalia, Germany
Company Size
51-200 employees
Founded
2016
TALPA is an industrial intelligence platform provider offering an end-to-end solution — including rugged edge hardware, Hardware-as-a-Service, and cloud analytics — that transforms machine data into real-time, AI-driven decisions for off-highway fleets. Serving OEMs, fleet operators, and service providers across mining, construction, quarries, and material handling, TALPA connects 15,000+ assets to help customers reduce unscheduled downtime, improve performance, and grow service revenue. The platform also enables OEMs to launch branded digital products and generate recurring SaaS revenue on top of their existing machine and parts businesses.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for TALPA.
39% below the average for this role