Data Scientist II- Machine Learning (Ultrasonic/NDT)

Full-time

Description

Location: Raleigh, NC (Onsite 5 days/week)
Company: Predictant LLC

Predictant is an innovative start up focused on using AI to accurately measure tension in large industrial bolts (currently focused on the Wind Turbine industry). Using our patented method, and patent pending hardware, coupled with advanced AI models, Predictant reduces the maintenance and inspection time on large structures by up to 90% vs. traditional methods. Predictant has recently obtained critical Wind Energy certifications and is now demonstrating the technology to a select list of industry leading OEMs and maintenance companies while preparing for strong growth next year. Predictant is part of the Invica Group, a London based company that maintains a worldwide portfolio of companies focused on sustainability.

This role applies specifically to the development of the AI model built from the ultrasonic bi-wave data received from half a million, and increasing, bolt measurements. This role reports to the Director of Product Development who created the patents for the technology and oversees all product, hardware, and software development. Applicants should expect a fast-paced, hard working environment and the rewards of working with a small and growing company.

Data Scientist II identifies trends, patterns, and anomalies in datasets by performing extensive statistical and data analysis to develop insights. Performs data mining, cleaning, and aggregation processes to prepare data, conduct analysis, and develop databases. The individual should effectively utilize (and maintain) multiple structured and non-structured databases to design, develop, and implement the most valuable data-driven solutions for the organization.

Due to the central role of Machine Learning (ML) in Predictant's mission, it is essential for a Data Scientist II to possess a solid comprehension of ML models, including classification, regression, and clustering. The person should be able to apply ML and Artificial Intelligence (AI) to tackle both current and novel issues in the domains of Non-destructive Testing (NDT). In addition, proficiency in feature engineering is a must for this role, as feature engineering is a crucial step in the ML pipelines, and it heavily contributes to the success of ML-based applications for NDT.

The individual in this role will be responsible for rapidly testing new ideas and concepts, debugging and optimizing existing models. This role involves collaborating with team members and discussing ideas and innovative solutions for improving existing processes. Additionally, the person should be an excellent team player, always seeking to assist team members in achieving their objectives of developing exceptional data products.

Requirements

What You’ll Do

• Analyze large-scale ultrasonic and sensor datasets to identify trends and anomalies
• Perform feature engineering, preprocessing, and EDA
• Develop, validate, and optimize supervised & unsupervised ML/DL models
• Build deep learning pipelines using Python and modern DL frameworks (TensorFlow/Keras)
• Collaborate with engineering and product teams on new ideas, experiments, and model improvements
• Communicate insights to both technical and non-technical stakeholders

What We’re Looking For

• 2–4 years of experience in Data Science or ML Engineering
• Bachelor’s or Master’s in Engineering, Data Science, CS, Math, Physics, or similar
• Strong Python skills and deep-learning experience for Computer Vision
• Experience with data preprocessing, feature engineering, and model development
• Familiarity with sensor/ultrasonic data, signal processing, or audio/time-series analysis (preferred)
• Experience with Azure (pipelines, databases) is a plus
• Strong communication, attention to detail, and ability to work in a fast-paced startup environment
• Must be able to work onsite in Raleigh 5 days/week

Preferred

• Local candidates in the Raleigh–Durham/RTP area
• U.S. citizens, permanent residents, or current H-1B holders who do not require new visa sponsorship