Data Scientist

ATI; Cudahy (WI); On-site; USD 80,000 - 120,000; Full time

Job summary

ATI is seeking a Data Scientist to support data analytics initiatives in Cudahy, Wisconsin. This role involves working on machine learning predictions, data mapping, and collaborating with business units to solve complex problems.

The ideal candidate will have a B.S. in computer science or engineering and experience in deep learning, predictive modeling, and applied machine learning. Join ATI to tackle the world's most challenging materials science problems.

Qualifications

• B.S. degree in computer science or 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.

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 data science tools.
• Build models and optimization tools for large scale projects.

Skills

Machine learning

Statistical analysis

Programming

Data mining

Time series analysis

Education

B.S. degree in computer science or engineering

Tools

PyTorch

Keras/TensorFlow

SQL

SAP Data Intelligence

Azure cloud computing

Job description

Proven to Perform. From the edges of space to the bottoms of ocean, our materials are proven to perform -- and so is our team. We're hiring high performers as proven as our products. Join us.

ATI is seeking to hire a Data Scientist to support business unit-wide data analytics initiatives. This position will be based in Cudahy, WI.

As a Data Scientist your work may be focused in a variety of areas, including machine learning predictions of material properties, thermal management of forgings, automated characterization methods, and design and improvement of manufacturing processes.

A successful Data Scientist will work cross-functionally across multiple levels, operate effectively in early‑stage development of processes and procedures, and will possess a strong continuous improvement mindset.

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.

Basic Qualifications

• B.S. degree in computer science or 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 (in addition to Basic Qualifications)

• Experience in PyTorch, Keras/TensorFlow.
• Experience in explainable AI.
• Experience in SQL data query and data cleaning.
  • Experience in SAP Data Intelligence and/or Azure cloud computing a plus but not required.
• Experience with PINN or using ML to solve materials science problems is a big plus.

We thrive when the expectations are great, and the barriers are high. We're solving the world's most difficult challenges through materials science.
Our advanced, integrated process technologies and proven performers give us a tremendous competitive advantage. When customers' systems need to fly higher, dig deeper, stand stronger, and last longer – anywhere on, above or below the earth – ATI is proven to perform.

*It is ATI's policy to not provide immigration sponsorship for any of the company's positions.
ATI and its subsidiary companies will provide equal employment opportunities to all applicants without regard to applicant's race, color, religion, sex, gender, genetic information, national origin, age, veteran status, disability status, or any other status protected by federal or state law. The company will provide reasonable accommodations to allow an applicant to participate in the hiring process if so requested.