... Data Science • Demonstrated experience applying fundamental machine learning algorithms and techniques in a non-coursework setting (e.g. unsupervised or supervised learning, classification ...
... Data Science • Demonstrated experience applying fundamental machine learning algorithms and techniques in a non-coursework setting (e.g. unsupervised or supervised learning, classification ...
... Data Science • At least one year of hands-on experience applying machine learning principles and algorithms involving embedded systems, edge computing, signal processing or a related field • ...
... Data Science • At least one year of hands-on experience applying machine learning principles and algorithms involving embedded systems, edge computing, signal processing or a related field • ...
The Target Data Science - Global Supply Chain and Logistics team leverages operations research, simulation, and machine learning to help Target makes intelligent, end-to-end supply chain business ...
The Target Data Science - Global Supply Chain and Logistics team leverages operations research, simulation, and machine learning to help Target makes intelligent, end-to-end supply chain business ...
Completed course work or specialization in Machine Learning and/or Data Science * At least one year of hands-on experience applying machine learning principles and algorithms involving embedded ...
Completed course work or specialization in Machine Learning and/or Data Science * At least one year of hands-on experience applying machine learning principles and algorithms involving embedded ...
Completed course work or specialization in Machine Learning and/or Data Science * At least one year of hands-on experience applying machine learning principles and algorithms involving embedded ...
Completed course work or specialization in Machine Learning and/or Data Science * At least one year of hands-on experience applying machine learning principles and algorithms involving embedded ...
Data Scientist
Cornell, WI · On-site
$74K - $111K/yr
Data Scientist Position Summary The Data Scientist builds, validates, and supports the deployment ... Experience with machine learning in cloud infrastructure or platforms (Azure, Google, AWS etc)
New
Data Scientist
Cornell, WI · On-site
$74K - $111K/yr
Data Scientist Position Summary The Data Scientist builds, validates, and supports the deployment ... Experience with machine learning in cloud infrastructure or platforms (Azure, Google, AWS etc)
New
Senior Data Scientist
Milwaukee, WI · On-site
Knowledge of a variety of machine learning techniques (clustering, decision tree learning ... A Data Science Lead should have excellent communication skills, including the ability to ...
Senior Data Scientist
Milwaukee, WI · On-site
Knowledge of a variety of machine learning techniques (clustering, decision tree learning ... A Data Science Lead should have excellent communication skills, including the ability to ...
Applying statistical or data science techniques, such as forecasting, predictive modeling, machine learning, optimization, or exploratory data analysis, to evaluate data or support analytic findings ...
New
Applying statistical or data science techniques, such as forecasting, predictive modeling, machine learning, optimization, or exploratory data analysis, to evaluate data or support analytic findings ...
New
Applying statistical or data science techniques, such as forecasting, predictive modeling, machine learning, optimization, or exploratory data analysis, to evaluate data or support analytic findings ...
New
Applying statistical or data science techniques, such as forecasting, predictive modeling, machine learning, optimization, or exploratory data analysis, to evaluate data or support analytic findings ...
New
Applying statistical or data science techniques, such as forecasting, predictive modeling, machine learning, optimization, or exploratory data analysis, to evaluate data or support analytic findings ...
New
Applying statistical or data science techniques, such as forecasting, predictive modeling, machine learning, optimization, or exploratory data analysis, to evaluate data or support analytic findings ...
New
Completed course work or specialization in Machine Learning and/or Data Science * Demonstrated experience applying fundamental machine learning algorithms and techniques in a non-coursework setting ...
Completed course work or specialization in Machine Learning and/or Data Science * Demonstrated experience applying fundamental machine learning algorithms and techniques in a non-coursework setting ...
Completed course work or specialization in Machine Learning and/or Data Science * Demonstrated experience applying fundamental machine learning algorithms and techniques in a non-coursework setting ...
Completed course work or specialization in Machine Learning and/or Data Science * Demonstrated experience applying fundamental machine learning algorithms and techniques in a non-coursework setting ...
Data Scientist-Direct Hire
Green Bay, WI · On-site
$74K/yr
Applying statistical or data science techniques, such as forecasting, predictive modeling, machine learning, optimization, or exploratory data analysis, to evaluate data or support analytic findings ...
New
Data Scientist-Direct Hire
Green Bay, WI · On-site
$74K/yr
Applying statistical or data science techniques, such as forecasting, predictive modeling, machine learning, optimization, or exploratory data analysis, to evaluate data or support analytic findings ...
New
Data Scientist
Cornell, WI · On-site
$74K - $111K/yr
Data Scientist Position Summary The Data Scientist builds, validates, and supports the deployment ... Experience with machine learning in cloud infrastructure or platforms (Azure, Google, AWS etc)
New
Data Scientist
Cornell, WI · On-site
$74K - $111K/yr
Data Scientist Position Summary The Data Scientist builds, validates, and supports the deployment ... Experience with machine learning in cloud infrastructure or platforms (Azure, Google, AWS etc)
New
Applying statistical or data science techniques, such as forecasting, predictive modeling, machine learning, optimization, or exploratory data analysis, to evaluate data or support analytic findings ...
New
Applying statistical or data science techniques, such as forecasting, predictive modeling, machine learning, optimization, or exploratory data analysis, to evaluate data or support analytic findings ...
New
Applying statistical or data science techniques, such as forecasting, predictive modeling, machine learning, optimization, or exploratory data analysis, to evaluate data or support analytic findings ...
New
Applying statistical or data science techniques, such as forecasting, predictive modeling, machine learning, optimization, or exploratory data analysis, to evaluate data or support analytic findings ...
New
Applying statistical or data science techniques, such as forecasting, predictive modeling, machine learning, optimization, or exploratory data analysis, to evaluate data or support analytic findings ...
New
Applying statistical or data science techniques, such as forecasting, predictive modeling, machine learning, optimization, or exploratory data analysis, to evaluate data or support analytic findings ...
New
Data Scientist-Direct Hire
Eau Claire, WI · On-site
$74K/yr
Applying statistical or data science techniques, such as forecasting, predictive modeling, machine learning, optimization, or exploratory data analysis, to evaluate data or support analytic findings ...
New
Data Scientist-Direct Hire
Eau Claire, WI · On-site
$74K/yr
Applying statistical or data science techniques, such as forecasting, predictive modeling, machine learning, optimization, or exploratory data analysis, to evaluate data or support analytic findings ...
New
Applying statistical or data science techniques, such as forecasting, predictive modeling, machine learning, optimization, or exploratory data analysis, to evaluate data or support analytic findings ...
New
Applying statistical or data science techniques, such as forecasting, predictive modeling, machine learning, optimization, or exploratory data analysis, to evaluate data or support analytic findings ...
New
Data Scientist-Direct Hire
Appleton, WI · On-site
$74K/yr
Applying statistical or data science techniques, such as forecasting, predictive modeling, machine learning, optimization, or exploratory data analysis, to evaluate data or support analytic findings ...
New
Data Scientist-Direct Hire
Appleton, WI · On-site
$74K/yr
Applying statistical or data science techniques, such as forecasting, predictive modeling, machine learning, optimization, or exploratory data analysis, to evaluate data or support analytic findings ...
New
Temporary Data Scientist Machine Learning information
What is the difference between Temporary Data Scientist Machine Learning vs Temporary Data Analyst?
| Aspect | Temporary Data Scientist Machine Learning | Temporary Data Analyst |
|---|---|---|
| Required Credentials | Bachelor's/Master's in Data Science, Computer Science, or related fields; knowledge of ML algorithms | Bachelor's in Statistics, Mathematics, or related fields; proficiency in data analysis tools |
| Work Environment | Project-based, collaborative teams, tech-focused companies | Business units, reporting teams, data-driven departments |
| Employer & Industry Usage | Tech firms, finance, healthcare, e-commerce | Retail, 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 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 Machine Learning, and why are they important?
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 are the most commonly searched types of Data Scientist Machine Learning jobs in Wisconsin? The most popular types of Data Scientist Machine Learning jobs in Wisconsin are:
What are popular job titles related to Temporary Data Scientist Machine Learning jobs in Wisconsin? For Temporary Data Scientist Machine Learning jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Temporary Data Scientist Machine Learning jobs in Wisconsin look for? The top searched job categories for Temporary Data Scientist Machine Learning jobs in Wisconsin are:
What cities in Wisconsin are hiring for Temporary Data Scientist Machine Learning jobs? Cities in Wisconsin with the most Temporary Data Scientist Machine Learning job openings:
Job description
Job Summary:
Milwaukee Tool is a company that values its people and culture as key to its success, focusing on innovative engineering solutions. As a Machine Learning Engineer, you will deploy machine learning models and collaborate with cross-functional teams to enhance power tool solutions, while ensuring project clarity and ownership.
Responsibilities:
• Deploy machine learning models in creative ways while working with highly cross-functional teams to make power tool solutions that change the lives of our users.
• Act as a technical expert in the creation and execution of these concepts into products, supporting the team through implementation, validation, and transfer to production.
• Leverage strong technical communication skills and fundamental project management abilities to ensure clarity and alignment across teams.
• Demonstrate a strong sense of ownership for projects and tasks, with a clear understanding of how they connect to broader initiatives.
Qualifications:
Required:
• Bachelor of Science Degree in Computer Science, Computer Engineering, Electrical Engineering or other scientific or engineering discipline.
• Completed course work or specialization in Machine Learning and/or Data Science
• Demonstrated experience applying fundamental machine learning algorithms and techniques in a non-coursework setting (e.g. unsupervised or supervised learning, classification/regression, dimensionality reduction, model optimization)
• Demonstrated experience with machine learning and AI methods such as CNNS, transformers, or computer vision
• Proficient developing and debugging code in Python
• Proficiency in Python, with extensive experience in common libraries (NumPy, pandas, scikit-learn, Matplotlib, etc.)
• Proficiency with at least one deep learning framework (e.g. PyTorch of Tensor Flow)
• Solid mathematical foundation in statistics, linear algebra, calculus and optimization
• Ability to travel up to 10% of the time (domestic and international).
Preferred:
• Master’s degree or PhD in Machine Learning or related field
• At least one year of hands-on experience applying machine learning principles and algorithms involving embedded systems, edge computing, signal processing or a related field are preferred
• Experience with time series modelling, especially with related domains such as NLP, SLAM, forecasting, or audio/video processing
• Proficient developing and debugging code in an embedded environment in a programming language such as C or C++
• Experience working with modern software development tools and version control tools
Company:
Milwaukee Tool manufactures electric power tools and accessories. Founded in 1924, the company is headquartered in Brookfield, USA, with a team of 5001-10000 employees. The company is currently Late Stage.
Milwaukee Tool is a company that values its people and culture as key to its success, focusing on innovative engineering solutions. As a Machine Learning Engineer, you will deploy machine learning models and collaborate with cross-functional teams to enhance power tool solutions, while ensuring project clarity and ownership.
Responsibilities:
• Deploy machine learning models in creative ways while working with highly cross-functional teams to make power tool solutions that change the lives of our users.
• Act as a technical expert in the creation and execution of these concepts into products, supporting the team through implementation, validation, and transfer to production.
• Leverage strong technical communication skills and fundamental project management abilities to ensure clarity and alignment across teams.
• Demonstrate a strong sense of ownership for projects and tasks, with a clear understanding of how they connect to broader initiatives.
Qualifications:
Required:
• Bachelor of Science Degree in Computer Science, Computer Engineering, Electrical Engineering or other scientific or engineering discipline.
• Completed course work or specialization in Machine Learning and/or Data Science
• Demonstrated experience applying fundamental machine learning algorithms and techniques in a non-coursework setting (e.g. unsupervised or supervised learning, classification/regression, dimensionality reduction, model optimization)
• Demonstrated experience with machine learning and AI methods such as CNNS, transformers, or computer vision
• Proficient developing and debugging code in Python
• Proficiency in Python, with extensive experience in common libraries (NumPy, pandas, scikit-learn, Matplotlib, etc.)
• Proficiency with at least one deep learning framework (e.g. PyTorch of Tensor Flow)
• Solid mathematical foundation in statistics, linear algebra, calculus and optimization
• Ability to travel up to 10% of the time (domestic and international).
Preferred:
• Master’s degree or PhD in Machine Learning or related field
• At least one year of hands-on experience applying machine learning principles and algorithms involving embedded systems, edge computing, signal processing or a related field are preferred
• Experience with time series modelling, especially with related domains such as NLP, SLAM, forecasting, or audio/video processing
• Proficient developing and debugging code in an embedded environment in a programming language such as C or C++
• Experience working with modern software development tools and version control tools
Company:
Milwaukee Tool manufactures electric power tools and accessories. Founded in 1924, the company is headquartered in Brookfield, USA, with a team of 5001-10000 employees. The company is currently Late Stage.