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Temporary Data Scientist Machine Learning Jobs in Madison, WI

Lead AI Platform Engineer

Madison, WI · On-site

$99K - $198K/yr

Collaborate closely with data scientists, machine learning engineers, and software engineers to ensure smooth integration of machine learning models into production systems. * Partner on the ...

... science and machine learning initiatives * Assist in developing analytical approaches and preparing data for more advanced modeling initiatives Ideal candidates will possess a bachelor's degree in ...

... science and machine learning initiatives * Assist in developing analytical approaches and preparing data for more advanced modeling initiatives Ideal candidates will possess a bachelor's degree in ...

... science and machine learning initiativesAssist in developing analytical approaches and preparing data for more advanced modeling initiativesIdeal candidates will possess a bachelor's degree in data ...

Senior AI/ML Engineer

Watertown, WI · On-site +1

$99K - $136K/yr

EDUCATION & EXPERIENCE Your background might include software engineering, data engineering, data science, machine learning engineering or AI engineering. What matters most is demonstrated technical ...

Senior AI/ML Engineer

Watertown, WI · On-site

$99K - $136K/yr

EDUCATION & EXPERIENCE Your background might include software engineering, data engineering, data science, machine learning engineering or AI engineering. What matters most is demonstrated technical ...

Senior AI/ML Engineer

Watertown, WI · On-site

$99K - $136K/yr

EDUCATION & EXPERIENCE Your background might include software engineering, data engineering, data science, machine learning engineering or AI engineering. What matters most is demonstrated technical ...

Senior AI/ML Engineer

Watertown, WI · On-site

$99K - $136K/yr

EDUCATION & EXPERIENCE Your background might include software engineering, data engineering, data science, machine learning engineering or AI engineering. What matters most is demonstrated technical ...

AI Engineer

Oregon, WI · On-site

$120 - $190/hr

Experience with Azure AI Studio, Azure Machine Learning, vector databases, and prompt engineering ... Bachelor's degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or ...

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Showing results 41-60

Temporary Data Scientist Machine Learning information

See Madison, WI salary details

$37.8K

$123.7K

$198K

How much do temporary data scientist machine learning jobs pay per year?

As of Aug 20, 2026, the average yearly pay for temporary data scientist machine learning in Madison, WI is $123,675.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,300.00 and $137,000.00 per year, depending on experience, location, and employer.

What does a temporary data scientist specializing in machine learning do?

A Temporary Data Scientist specializing in Machine Learning is responsible for designing, building, and deploying machine learning models to analyze data and generate insights, but works on a contract or short-term basis. Their duties often include data preprocessing, model selection and validation, and communicating results to stakeholders. They may also be tasked with automating processes, cleaning large datasets, and collaborating with other teams to implement solutions. The temporary nature of the job means they often focus on specific projects or provide support during peak periods.

What are the key skills and qualifications needed to thrive as a temporary data scientist specializing in machine learning?

To thrive as a Temporary Data Scientist Machine Learning, you generally need a strong background in statistics, programming (Python or R), and experience with machine learning algorithms, often supported by a degree in computer science, mathematics, or a related field. Familiarity with data visualization tools (like Tableau), machine learning libraries (such as scikit-learn, TensorFlow, or PyTorch), and version control systems (e.g., Git) is typically required. Strong problem-solving abilities, adaptability, and effective communication are crucial soft skills for collaborating with teams and translating technical findings to stakeholders. These skills ensure that temporary data scientists can quickly contribute actionable insights, drive data-driven decisions, and add value within a limited time frame.

What are some typical projects or tasks a temporary data scientist specializing in machine learning might work on?

As a temporary Data Scientist focusing on machine learning, you can expect to work on short-term, high-impact projects such as building predictive models, cleaning and preparing data, or developing automated analytics solutions. You may be brought in to support ongoing initiatives, provide expertise for a specific project phase, or help accelerate a backlog of tasks. Collaboration is common, and you'll likely work closely with data engineers, business analysts, and domain experts to understand requirements and deliver actionable insights within tight deadlines. This role offers exposure to diverse datasets and tools, and is an excellent opportunity to rapidly expand your experience and network.

What is the difference between Temporary Data Scientist Machine Learning vs Temporary Data Analyst?

AspectTemporary Data Scientist Machine LearningTemporary Data Analyst
Required CredentialsBachelor's/Master's in Data Science, Computer Science, or related fields; knowledge of ML algorithmsBachelor's in Statistics, Mathematics, or related fields; proficiency in data analysis tools
Work EnvironmentProject-based, collaborative teams, tech-focused companiesBusiness units, reporting teams, data-driven departments
Employer & Industry UsageTech firms, finance, healthcare, e-commerceRetail, marketing, finance, consulting

Temporary Data Scientist Machine Learning roles focus on developing and deploying machine learning models, requiring advanced analytics skills. Temporary Data Analysts primarily interpret data, generate reports, and support decision-making. While both roles involve data handling, Data Scientists with ML expertise work on predictive modeling, whereas Data Analysts focus on descriptive analytics. The choice depends on the project needs and skill requirements.

What are the most commonly searched types of Data Scientist Machine Learning jobs in Madison, WI?

The most popular types of Data Scientist Machine Learning jobs in Madison, WI are:

What are popular job titles related to Temporary Data Scientist Machine Learning jobs in Madison, WI?

For Temporary Data Scientist Machine Learning jobs in Madison, WI, the most frequently searched job titles are:

What job categories do people searching Temporary Data Scientist Machine Learning jobs in Madison, WI look for?

The top searched job categories for Temporary Data Scientist Machine Learning jobs in Madison, WI are:

Infographic showing various Temporary Data Scientist Machine Learning job openings in Madison, WI as of June 2026, with employment types broken down into 18% Full Time, 71% Part Time, 2% Temporary, and 9% Contract. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $123,675 per year, or $59.5 per hour.

Lead AI Platform Engineer

Abbott

Madison, WI • On-site

$99K - $198K/yr

Full-time

Posted 21 days ago


Abbott rating

7.8

Company rating: 7.8 out of 10

Based on 138 frontline employees who took The Breakroom Quiz

175th of 542 rated manufacturers


Job description

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 115,000 colleagues serve people in more than 160 countries.
JOB DESCRIPTION:
Position Overview
The Lead Engineer, Artificial Intelligence is a pivotal position responsible for driving the strategic vision and technical execution of AI initiatives within the organization. This role demands expertise in Machine Learning, Natural Language Processing, and emerging technologies such as Generative AI and Large Language Models. This role will be responsible for the development and deployment of innovative AI solutions, ensuring their alignment with business objectives while fostering collaboration across multidisciplinary teams. A strong emphasis is placed on problem-solving, efficiency enhancement, and maintaining the reliability and scalability of AI systems to deliver exceptional results.
Essential Duties
Include, but are not limited to, the following:
  • Lead the execution of ML, NLP, LLM deliverables in support of the AI strategies.
  • Collaborate closely with data scientists, machine learning engineers, and software engineers to ensure smooth integration of machine learning models into production systems.
  • Partner on the execution of custom ML, Gen AI, NLP, LLM Models for batch and stream processing-based AI ML pipelines including data ingestion, preprocessing modules, search and retrieval, Retrieval Augmented Generation (RAG), NLP/LLM model development and ensure the end-to-end solution meets all technical and business requirements, and SLA specifications.
  • Complete the development and deployment of AI models and algorithms to solve complex problems.
  • Stay updated on advancements in AI research and technology to guide initiatives.
  • Foster a culture of innovation, collaboration, and continuous learning within the team.
  • Coach, support, and provide mentorship for team members.
  • Champion ethical AI practices and ensure compliance with regulatory standards.
  • Address issues related to data privacy, security, and biases in AI systems.
  • Uphold company mission and values through accountability, innovation, integrity, quality, and teamwork.
  • Support and comply with the company's Quality Management System policies and procedures.
  • Maintain regular and reliable attendance.
  • Ability to act with an inclusion mindset and model these behaviors for the organization.

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or a related field; or High School Diploma/General Education Degree and 4+ years of relevant as outlined in the essential duties in lieu of Bachelor's Degree.
  • Demonstrated expertise in designing and deploying cutting-edge AI solutions that drive measurable business impact.
  • Demonstrated understanding of ethical considerations in AI systems.
  • 3+ years of project leadership experience including Agile project management, Scaled Agile Frameworks (SAFE).
  • Advanced ability working with machine learning frameworks, programming languages like Python, and cloud platforms.
  • Strong analytical and problem-solving skills with expertise in AI/ML techniques.

Preferred Qualifications:
  • Experience designing and deploying Gen AI solutions at scale.
  • Experience fine tuning LLMs, SLMs, teacher-student frameworks and model distillation
  • Familiarity with human in the loop methods for aligning LLMs with human preferences, e.g. DPO
  • Familiarity with Agentic framework platforms and concepts. Experience deploying agentic-based solutions is a plus.

The base pay for this position is
$99,300.00 - $198,700.00
In specific locations, the pay range may vary from the range posted.
JOB FAMILY:
Product Development
DIVISION:
ONCO Cancer Diagnostics
LOCATION:
United States > Madison : 5505 Endeavor Ln
ADDITIONAL LOCATIONS:
WORK SHIFT:
Standard
TRAVEL:
No
MEDICAL SURVEILLANCE:
No
SIGNIFICANT WORK ACTIVITIES:
Continuous sitting for prolonged periods (more than 2 consecutive hours in an 8 hour day), Keyboard use (greater or equal to 50% of the workday)
Abbott is an Equal Opportunity Employer of Minorities/Women/Individuals with Disabilities/Protected Veterans.
EEO is the Law link - English: http://webstorage.abbott.com/common/External/EEO_English.pdf
EEO is the Law link - Espanol: http://webstorage.abbott.com/common/External/EEO_Spanish.pdf

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