Data Scientist

Wiliot

Wiliot, known for pioneering innovations in IoT, is transforming how everyday products connect with technology. The company is backed by industry leaders such as Softbank and Amazon, and they aim to revolutionize product intelligence and connectivity. The role is essential in scaling Wiliot's 'Sensing as a Service' initiative, contributing to the integration of intelligence in consumer and industrial applications.

In this role you can expect to have the responsibilities:

• Design and build machine learning models for anomaly detection and supply chain behavior utilizing streaming and batch IoT data.
• Collaborate with data engineers for data preparation and scalable feature pipelines.
• Implement models using MLOps practices, ensuring operational efficiency.
• Partner with engineering and product teams for real-world model application.
• Develop real-time analytics features using big data frameworks like Spark and Kafka.
• Create tools to enhance experimentation speed and foster automation in model training.
• Research and apply new AI and IoT techniques to improve model performance.

This role comes with the following benefits:

This role requires you to have:

• Proficiency in Python and machine learning libraries.
• Strong SQL skills and cloud platform experience.
• Experience with Apache Spark for large-scale data processing.
• Familiarity with ML lifecycle tools and version control systems.

You would benefit from having:

• Experience with Java or Scala.
• Understanding of streaming data tools and DevOps practices.
• Exposure to Databricks or Airflow.

Wiliot has a promising outlook with support from well-known investors. The role offers an opportunity to be part of a fast-paced and innovative team, bridging technology with practical applications across various industries.