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.
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.
Reliability Engineer
$100K - $126K/yr
Proficiency with data analysis (Reliability Modelling / Prediction, Statistical Analyses, Six Sigma, etc.). Preferred Experience * Certified Maintenance Reliability Professional (CMRP) or Reliability ...
Reliability Engineer
$100K - $126K/yr
Proficiency with data analysis (Reliability Modelling / Prediction, Statistical Analyses, Six Sigma, etc.). Preferred Experience * Certified Maintenance Reliability Professional (CMRP) or Reliability ...
Next Gen Stats information
What are some common challenges faced in a Next Gen Stats position and how can I prepare for them?
Professionals in Next Gen Stats roles often work with large, complex datasets that require meticulous attention to accuracy and consistency, which can be challenging given the fast turnaround times in the sports industry. You may also need to distill technical analyses into clear insights for coaching staff, athletes, or media—making strong communication skills essential. Adapting to rapidly evolving analytical tools and new metrics is another common challenge, so a willingness to learn and stay current with industry trends is important. Proactively developing your technical and soft skills, as well as building a network with other analytics professionals, will help you excel and advance in this dynamic field.
What is a Next Gen Stats job?
A Next Gen Stats job involves analyzing advanced player and game data collected through tracking technology, such as RFID chips in player equipment. Professionals in this field interpret data to provide insights on player performance, team strategy, and game trends. These roles often require expertise in data analytics, sports science, or software engineering to process and visualize complex statistics. Teams, broadcasters, and analysts use this data to enhance decision-making and fan engagement.
What are the key skills and qualifications needed to thrive in the Next Gen Stats position, and why are they important?
To thrive in a Next Gen Stats role, you need a strong background in data analysis, statistical modeling, programming (often Python or R), and a relevant degree such as statistics, computer science, or data science. Familiarity with sports data platforms, data visualization tools (such as Tableau or Power BI), and advanced analytics software is typically required. Excellent communication, attention to detail, and a collaborative mindset help you translate complex insights for varied audiences and work effectively within multidisciplinary teams. These skills are crucial to ensuring accurate, actionable insights that drive decision-making in the fast-paced world of sports analytics.

Full-time
Re-posted 29 days ago
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, 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, 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.
Wethrive 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.