We are a young and dynamic startup from Switzerland that has a mission to enable modern businesses to understand unstructured machine data in a smart and easy manner. We develop a big data analytics solution that provides extensive analytical capabilities and insights into machine-generated log data for the visibility into complex IT environments.
We are looking for an entrepreneurial, collaborative person with hands-on experience in machine learning, predictive analytics and software engineering.
Your qualification & competencies
MSc or Ph.D. in computer science, statistics, mathematics or related fields
Relevant industry experience is a plus.
Expertise in modern analytics tools and programming languages such as Python, Scala, Java and/or R, Elasticsearch, Spark, Hadoop etc.
Expertise in data mining algorithms and statistical modeling techniques such as clustering, classification, regression, decision trees, neural nets, support vector machines, anomaly detection, sequential pattern discovery, and text mining.
Motivated and passionate about large-scale machine learning problems, ability to think big and get things done.
Good communication skills - ability to explain complex technical issues to both technical and non-technical audiences.
Your responsibilities
Prototype, design and develop machine learning algorithms for time-series data.
Implement, test and optimize proposed machine learning models for large-scale environment.
Closely collaborate with the software engineering team to integrate proposed models with the main platform.