Descrizione
Essential Duties/Principal Responsibilities:
- Organize, manipulate, filter, and visualize a large quantity of data from different products and sensing technologies
- Work closely with product engineering team (software, electrical and mechanical engineers), solution architects and product owners to design and develop algorithms and mathematic models to optimize and automate data acquisition, generation, processing, analysis and reporting
- Work independently or closely with other data scientists to develop AI, ML, and deep learning models that meet product development requirements while supporting real time monitoring, predictive analysis, feature recognition and extraction etc.
- Deliver developed algorithm, models and software products to our operational team (data analysis and field engineering) to meet the development requirements while training and supporting the end users
- Communicate effectively & proactively with the project team(s) to accomplish business objectives
- Able to multi-task and work in a multi-project development environment
- Self-motivated to bring his/her skills to the next level and able to learn concepts and new techniques quickly and effectively
- Experience with acoustic, electromagnetic, and ultrasonic sensors or general sensing technologies preferred
- Experience with R&D, high-speed data acquisition systems, fast prototyping, and agile development preferred
Minimum Qualifications: Education, Experience, Skills, Abilities, License/Certification:
- Bachelor’s degree in Computer Science, Data Science, Applied Math, Engineering, Physics or other related science or engineering fields. Master of Science preferred.
- 3 years hands-on programming experience with strong development skills in Python, Matlab, C++, C#, or Java.
- Creative problem solver with key attention to detail and strong analytical skills to make data-driven decisions.
- Strong understanding of statistics, linear algebra and calculus.
- Broad knowledge of signal processing, time series and spectral analysis
- Excellent communication and documentation skills.
- Time management skills, tasks prioritization skills and ability to work independently.