Data Scientist

Basic Qualifications

• B.S. degree in computer science, engineering with a strong statistical and programming background.
• Experience in deep learning, predictive modeling, data mining, and time series analysis.
• Knowledge of image segmentation, generative models, convolutional neural networks.
• Experience in applied machine learning.

Preferred Qualifications

• Experience in PyTorch, Keras/Tensorflow.
• Experience in explainable AI.
• Experience in SQL data query, data cleaning.
• Experience in SAP Data Intelligence and/or Azure cloud computing (a plus but not required).
• Experience in PINN or using ML for solving materials science problems (a plus).

Additional Responsibilities

• Map data from multiple sources into new structures.
• Work with business subject matter experts to determine best solutions.
• Serve as a subject matter expert in the capabilities of Data Science.
• Collaborate with business owners to solve business problems using a broad spectrum of data science tools, packages, and visualization techniques.
• Build models and optimization tools to support large scale projects that utilize online, offline data, structured, and unstructured data.

About the Role

Join us at ATI, where we're committed to supporting business unit-wide data analytics initiatives. Our team is known for their proven performance, both in materials and in operations. This role will be based in Cudahy, WI, and will focus on various areas such as machine learning predictions of material properties, thermal management of forgings, automated characterization methods, and design and improvement of manufacturing processes. The ideal candidate will work cross-functionally, operate effectively in early-stage development, and possess a strong Continuous Improvement mindset.

Skills

• Deep Learning
• Predictive Modeling
• Data Mining
• Time Series Analysis
• Image Segmentation
• Generative Models
• Convolutional Neural Networks
• Applied Machine Learning

Benefits

ATI offers a comprehensive benefits package designed to support your health, financial security, and overall well-being. This includes medical, dental, vision insurance, retirement plans, paid time off, and more. We also offer flexible work arrangements and professional development opportunities to help you achieve your career goals.

Pay

The salary range for this position is $80,000 - $120,000 annually, depending on experience and qualifications. Competitive compensation and benefits are provided to ensure you are compensated fairly for your skills and contributions.

Schedule

This position is full-time and requires a minimum of 40 hours per week. Flexible scheduling options may be available upon request.