Job description
Most wanted: Data enthusiast with sharp analytical skills and a flair for automated data pipelines.
Onedot was founded in 2014 to make unstructured and messy product data easily consumable by applying self-developed artificial intelligence.
We are a Swiss SaaS startup in the scaling stage offering commerce and industry the first intelligent platform to source, onboard and distribute product data. Public companies with global presence and rich history as well as some of the fastest growing e-commerce startups are part of our expanding international customer base.
At Onedot, you will embed yourself into a demanding but exceptionally inspiring distributed environment with lots of room for personal growth. We are looking for colleagues who want to have a meaningful impact and shape our trendsetting product and company. High-quality work is rewarded with a steep learning curve, lots of autonomy, responsibility and swift decision-making. Become part of a multi-cultural and multi-faceted team led by the founders. Talented, curious and committed human beings from all over the globe are looking forward to your ideas and taking you on board.
As a Data Analyst, you work at the center of Onedot's platform offering. You easily grasp the customer's needs and translate requirements into reliable, performant data processing solutions. Designing, implementing, configuring and testing data pipelines on top of Apache Spark to enable customers with smart ways of automated data preparation is your thing. You like hands-on working with data and are curious to learn about groundbreaking new approaches to automated product data onboarding at Onedot. Configuring and maintaining advanced data processing pipelines and training machine learning models to map, transform and classify product data at scale is a challenge you like to embrace. Insufficient data quality catches your eye and you are familiar with running iterative approaches to further improve data quality and data processing performance.
In this position, you work closely with our data engineers who design and maintain standard data pipelines, but also with software engineering and product management. Occasionally, you also interact with experts from category-, product- or content management as well as data specialists at our customers.
Onedot designs and engineers proprietary machine learning algorithms, probabilistic/statistical methods and advanced text understanding because existing approaches do not go far enough. Our technology achieves human-like performance and has already been trained with over 100 million different products.
Onedot is a startup backed by well-known international venture capital firms and world class entrepreneurs.
Onedot was founded in 2014 to make unstructured and messy product data easily consumable by applying self-developed artificial intelligence.
We are a Swiss SaaS startup in the scaling stage offering commerce and industry the first intelligent platform to source, onboard and distribute product data. Public companies with global presence and rich history as well as some of the fastest growing e-commerce startups are part of our expanding international customer base.
At Onedot, you will embed yourself into a demanding but exceptionally inspiring distributed environment with lots of room for personal growth. We are looking for colleagues who want to have a meaningful impact and shape our trendsetting product and company. High-quality work is rewarded with a steep learning curve, lots of autonomy, responsibility and swift decision-making. Become part of a multi-cultural and multi-faceted team led by the founders. Talented, curious and committed human beings from all over the globe are looking forward to your ideas and taking you on board.
As a Data Analyst, you work at the center of Onedot's platform offering. You easily grasp the customer's needs and translate requirements into reliable, performant data processing solutions. Designing, implementing, configuring and testing data pipelines on top of Apache Spark to enable customers with smart ways of automated data preparation is your thing. You like hands-on working with data and are curious to learn about groundbreaking new approaches to automated product data onboarding at Onedot. Configuring and maintaining advanced data processing pipelines and training machine learning models to map, transform and classify product data at scale is a challenge you like to embrace. Insufficient data quality catches your eye and you are familiar with running iterative approaches to further improve data quality and data processing performance.
In this position, you work closely with our data engineers who design and maintain standard data pipelines, but also with software engineering and product management. Occasionally, you also interact with experts from category-, product- or content management as well as data specialists at our customers.
Onedot designs and engineers proprietary machine learning algorithms, probabilistic/statistical methods and advanced text understanding because existing approaches do not go far enough. Our technology achieves human-like performance and has already been trained with over 100 million different products.
Onedot is a startup backed by well-known international venture capital firms and world class entrepreneurs.
