1

Trainee Computer Data Scientist Jobs in Wisconsin

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.

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.

Data Scientist

Appleton, WI · On-site

$120 - $180/hr

Position Summary The Data Scientist, specializing in AI and Advanced Analytics, plays a key role ... Lead AI and predictive modeling initiatives, including LLM‑based/GenAI applications, computer ...

Experience using commercial or open-source optimization tools such as Gurobi, Pyomo, CPLEX, etc * BS in Operations Research, Data Science, Computer Science, Machine Learning, Applied Mathematics, or ...

WI · On-site

$90 - $150/hr

Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, Health Informatics, Public Health, or a related field * 2-4 years of experience developing data science ...

WI · On-site

$95 - $130/hr

Bachelor's Degree in science, engineering, computer science, mathematics, statistics, or related STEM field (required) * Master's Degree in Data Science (preferred) * Seven years of experience in ...

WI · On-site

$140 - $190/hr

Senior Data Scientist - Applied AI, NLP, and LLM Solutions Note: Fidelity will not provide ... PhD in Computer Science, Information Science, Statistics, or a related STEM discipline with focus ...

New

Graduate Degree in Medicine, Biomedical Informatics, Epidemiology, Computer Science, Data Science, Engineering, Public Health, Economics, Biostatistics, Health Policy, Statistics, Biometrics, or ...

S. degree in Engineering, Computer Science, or related field * Experience in deep learning, predictive modeling, data mining, and time series analysis. * Knowledge of image segmentation, generative ...

Data Scientist

Brookfield, WI · On-site

$111K - $131K/yr

Basic Qualifications - Bachelor's degree in a quantitative field such as statistics, computer ... science, engineering or applied mathematics, or equivalent work experience - Six to eight years of ...

Bachelor's degree in Statistics, Data Science, Computer Science, Operations Research or a related field and 4 years in any job title involving statistical and machine learning modeling experience.

WI · On-site

$120 - $180/hr

Master's degree in Computer Science, Artificial Intelligence, Software Engineering, DataScienceor a ... Experience integrating multiple information and data sources into a unified AI solution Strong ...

WI · On-site

$120 - $160/hr

Master's degree in Computer Science, Artificial Intelligence, Software Engineering, DataScienceor a ... Experience integrating multiple information and data sources into a unified AI solution Strong ...

next page

Showing results 1-20

Trainee Computer Data Scientist information

What is the difference between Trainee Computer Data Scientist vs Data Analyst?

AspectTrainee Computer Data ScientistData Analyst
Required CredentialsBasic programming, statistics, entry-level data science coursesData analysis, Excel, SQL, basic statistics
Work EnvironmentLearning-focused, entry-level projects, collaborative teamsData reporting, visualization, business insights
Industry UsageGrowing in tech, finance, healthcare sectorsWidespread across industries for business decision support

The Trainee Computer Data Scientist is an entry-level role focused on developing skills in data science, programming, and machine learning, often in a learning environment. In contrast, a Data Analyst primarily handles data reporting, visualization, and basic analysis to support business decisions. While both roles require some knowledge of statistics and data tools, the Data Scientist role emphasizes advanced data modeling and programming, whereas the Data Analyst role centers on interpreting data for insights.

How to start a career in data science with no experience?

To start a career as a trainee computer data scientist with no experience, focus on building foundational skills in programming languages like Python or R, and learn data analysis and visualization tools such as SQL and Tableau. Completing online courses, earning relevant certifications, and working on personal or open-source projects can demonstrate your abilities to employers. Gaining practical experience through internships or entry-level roles can also help transition into a data science career.

What are the most commonly searched types of Computer Data Scientist jobs in Wisconsin?

The most popular types of Computer Data Scientist jobs in Wisconsin are:

Data Scientist

ATI

Cudahy, WI • On-site

Full-time

Re-posted 21 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.

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.