Data Scientist

ATI • Cudahy, WI

9d • Onsite

About The Position

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.

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 be federal or state law. The company will provide
reasonable accommodations to allow an applicant to participate in the hiring
process if so requested.

Requirements

• 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.

Nice To Haves

• 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.
• If you have worked on PINN or used ML for solving materials science problem a big plus.

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 1,001-5,000 employees