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Trainee Computer Data Scientist Jobs in Wisconsin

Jobtailor

WI · On-site

$110 - $165/hr

... with data-driven insights * Use A/B tests and offline/online evaluation frameworks to measure model impact and guide iterative improvement Requirements * Bachelor's degree in Computer Science or a ...

Baylor College of Medicine

WI · On-site

$80 - $120/hr

... trainees. Job Duties * Build and test statistical, optimization, and machine learning models ... Ph.D. in mathematics, computer science, statistics, engineering, or analytics, plus at least 2 ...

CliftonLarsonAllen

Manager of Data Science

Hudson, WI · On-site

Degree in Statistics, Computer Science, Economics, Analytics, Data Science (e.g., Informatics, Data ... Science, Health Data Science), AI, or related field preferred. * Masters in a Data Science ...

US Venture, Inc.

Data Science Intern

Appleton, WI · On-site

Pursuing a bachelor's or advanced degree in Data Science, Statistics, Computer Science, or related field * Ability to build processes that support data transformation, data structures, metadata ...

TSMG

AI/ML Data Contributor

Milwaukee, WI · On-site

Basic computer skills and familiarity with digital tools * Reliable internet connection and access ... Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or ...

TSMG

AI/ML Data Contributor

Milwaukee, WI

Basic computer skills and familiarity with digital tools * Reliable internet connection and access ... Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or ...

TSMG

AI/ML Data Contributor

Milwaukee, WI · On-site

Basic computer skills and familiarity with digital tools * Reliable internet connection and access ... Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or ...

TSMG

AI/ML Data Contributor

Milwaukee, WI · On-site

Basic computer skills and familiarity with digital tools * Reliable internet connection and access ... Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or ...

TSMG

AI/ML Data Contributor

Milwaukee, WI · On-site

Basic computer skills and familiarity with digital tools * Reliable internet connection and access ... Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or ...

TSMG

AI/ML Data Contributor

Milwaukee, WI · On-site

Basic computer skills and familiarity with digital tools * Reliable internet connection and access ... Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or ...

Generac

Data Science Analyst

Waukesha, WI

Bachelor Degree * 1 year work experience in Math, Statistics, or Computer Science Preferred ... Supports data preparation for analytic efforts by cleaning data to ensure quality and accuracy ...

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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:

Trainee Computer Data Scientist jobs near you

Machine Learning Scientist II - Whole Trip AI

Jobtailor

WI • On-site

$110 - $165/hr

Other

Posted 5 days ago

Job description

Responsibilities
  • Design and implement end-to-end model pipelines to production across multiple product domains, including ranking, recommendations, search, and personalization
  • Develop and maintain scalable data pipelines, data quality checks, and model monitoring to ensure reliability, performance, and responsible behavior of ML systems in production
  • Collaborate with cross-functional partners (product, analytics, engineering) to translate ambiguous business needs into well-scoped ML projects, communicate findings, and influence decision making with data-driven insights
  • Use A/B tests and offline/online evaluation frameworks to measure model impact and guide iterative improvement
Requirements
  • Bachelor’s degree in Computer Science or a related technical field; or Equivalent related professional experience
  • 2+ years of relevant professional experience
  • Professional industry experience applying machine learning or statistical modeling to real business problems, including end-to-end model development from data exploration through evaluation and deployment
  • Proficiency in Python and with ML frameworks and libraries for model development, training, and evaluation
  • Demonstrated ability to translate problem statements into well-defined ML tasks, design appropriate model and data structures (including APIs and data models), and own solutions within a defined product, service, or feature area, including familiarity with AI-driven systems, tools, or workflows and applying AI/ML concepts to real world products with attention to safety and reliability.
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