... 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 • ...
... 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 • ...
As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Large scale machine learning experience working with terabytes of data * Implemented custom ...
As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Large scale machine learning experience working with terabytes of data * Implemented custom ...
As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Large scale machine learning experience working with terabytes of data * Implemented custom ...
As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Large scale machine learning experience working with terabytes of data * Implemented custom ...
As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Large scale machine learning experience working with terabytes of data * Implemented custom ...
As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Large scale machine learning experience working with terabytes of data * Implemented custom ...
As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Large scale machine learning experience working with terabytes of data * Implemented custom ...
As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Large scale machine learning experience working with terabytes of data * Implemented custom ...
As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Large scale machine learning experience working with terabytes of data * Implemented custom ...
As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Large scale machine learning experience working with terabytes of data * Implemented custom ...
As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Large scale machine learning experience working with terabytes of data * Implemented custom ...
As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Large scale machine learning experience working with terabytes of data * Implemented custom ...
As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Large scale machine learning experience working with terabytes of data * Implemented custom ...
As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Large scale machine learning experience working with terabytes of data * Implemented custom ...
As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Large scale machine learning experience working with terabytes of data * Implemented custom ...
As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Large scale machine learning experience working with terabytes of data * Implemented custom ...
As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Large scale machine learning experience working with terabytes of data * Implemented custom ...
As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Large scale machine learning experience working with terabytes of data * Implemented custom ...
As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Large scale machine learning experience working with terabytes of data * Implemented custom ...
As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Large scale machine learning experience working with terabytes of data * Implemented custom ...
As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Large scale machine learning experience working with terabytes of data * Implemented custom ...
As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Large scale machine learning experience working with terabytes of data * Implemented custom ...
As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Large scale machine learning experience working with terabytes of data * Implemented custom ...
As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Large scale machine learning experience working with terabytes of data * Implemented custom ...
As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Large scale machine learning experience working with terabytes of data * Implemented custom ...
As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Large scale machine learning experience working with terabytes of data * Implemented custom ...
As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Large scale machine learning experience working with terabytes of data * Implemented custom ...
As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Large scale machine learning experience working with terabytes of data * Implemented custom ...
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 ...
Sr Data Scientist - Supply Chain Optimization (Middle Mile)
Stevens Point, WI · On-site
$98K - $211K/yr
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 ...
Sr Data Scientist - Supply Chain Optimization (Middle Mile)
Stevens Point, WI · On-site
$98K - $211K/yr
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 ...
Intern Data Scientist Machine Learning information
What does an intern data scientist machine learning do?
An Intern Data Scientist in Machine Learning assists in analyzing large datasets, building predictive models, and extracting insights to support business decisions. They often work under the guidance of experienced data scientists to clean data, implement machine learning algorithms, and evaluate model performance. Their responsibilities may also include data visualization and reporting findings to team members. This role provides hands-on experience with real-world data science problems and tools, helping interns develop essential technical and analytical skills.
What types of projects and responsibilities can an intern data scientist machine learning expect to work on?
As an Intern Data Scientist focused on Machine Learning, you will often assist in tasks such as data cleaning, feature engineering, and developing or testing machine learning models under the supervision of senior team members. You may also be involved in exploratory data analysis and help interpret model results to provide actionable insights. Interns typically collaborate closely with data engineers, analysts, and software developers, gaining exposure to end-to-end machine learning pipelines. This hands-on experience provides valuable learning opportunities and helps build the foundational skills needed for future roles in data science.
What are the key skills and qualifications needed to thrive as an intern data scientist machine learning, and why are they important?
To thrive as an Intern Data Scientist (Machine Learning), you need a solid understanding of statistics, programming skills (typically in Python or R), and foundational knowledge of machine learning algorithms, often supported by coursework or relevant projects. Familiarity with tools like scikit-learn, TensorFlow, Jupyter notebooks, and version control systems (e.g., Git) is commonly expected. Strong analytical thinking, curiosity, and effective communication skills help you interpret data insights and work collaboratively within a team. These abilities are crucial for translating data into actionable solutions and contributing to impactful machine learning projects.
What is the difference between Intern Data Scientist Machine Learning vs Intern Data Analyst?
| Aspect | Intern Data Scientist Machine Learning | Intern Data Analyst |
|---|---|---|
| Required Skills | Basic programming, statistics, machine learning concepts | Data analysis, Excel, SQL, visualization tools |
| Work Environment | Research-focused, model development, algorithm testing | Data cleaning, reporting, dashboard creation |
| Common Industry Usage | Tech, finance, healthcare | Retail, marketing, finance |
Intern Data Scientist Machine Learning roles focus on developing and testing machine learning models, requiring knowledge of algorithms and programming. Intern Data Analyst positions emphasize data cleaning, analysis, and visualization. Both roles are entry-level but differ in technical depth and project focus, catering to different career paths within data-driven industries.
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 Intern Data Scientist Machine Learning jobs in Wisconsin?
For Intern Data Scientist Machine Learning jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Intern Data Scientist Machine Learning jobs in Wisconsin look for?
The top searched job categories for Intern Data Scientist Machine Learning jobs in Wisconsin are:
What cities in Wisconsin are hiring for Intern Data Scientist Machine Learning jobs?
Cities in Wisconsin with the most Intern Data Scientist Machine Learning job openings:
Job description
Job Summary:
Techtronic Industries - TTI is a company that values its people and culture as key to its success. The Machine Learning Engineer II will create and validate machine learning models, innovate solutions for power tools, and collaborate with cross-functional teams to enhance user experiences.
Responsibilities:
• create, develop, and validate machine learning models
• work with highly cross-functional teams
• innovate and explore new machine learning solutions
• demonstrate excellent problem-solving skills
• exhibit critical thinking
• thrive under pressure in a dynamic environment
• show strong technical communication skills
• exercise fundamental project management abilities
• take proactive ownership for projects and tasks
• understand how projects 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
• 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
• 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
• Experience working with modern software development tools and version control tools
• Excellent problem-solving skills, critical thinking, and ability to work well under pressure in a dynamic environment.
• Excellent technical communication skills and fundamental project management abilities
• Demonstrated strong sense of ownership of a project or tasks and understanding of relationships to other tasks/projects
• Ability to travel up to 10% of the time (domestic and international).
Preferred:
• Master’s degree or PhD in Machine Learning or related field is preferred
• At least three years of hands-on experience applying machine learning principles and algorithms involving embedded systems, edge computing, signal processing or a related field (an advanced degree may count toward some experience)
• Experience with time series modelling, especially with related domains such as NLP, SLAM, forecasting, or audio/video processing
• Proven track record of developing, deploying and implementing AI or ML solutions connected to business objectives
• Proficient developing and debugging code in an embedded environment in a programming language such as C or C++
• Working knowledge of various sensor technologies (e.g. IMU, thermistors, magnetic and optical) and interfacing to microcontrollers
• Working knowledge of embedded systems architecture (HW & SW), microcontroller design and operation
• Experience with different types of data collection methods, understanding their principles and demonstrating their value in relevant environments
• Experience developing and deploying machine learning algorithms to edge environments
• Demonstrated ability to develop robust MLOps pipelines and ensure efficient deployment, monitoring and scaling of ML models
Company:
Milwaukee Tool manufactures electric power tools and accessories. It is a sub-organization of Techtronic Industries. Founded in 1924, the company is headquartered in Brookfield, USA, with a team of 5001-10000 employees. The company is currently .
Techtronic Industries - TTI is a company that values its people and culture as key to its success. The Machine Learning Engineer II will create and validate machine learning models, innovate solutions for power tools, and collaborate with cross-functional teams to enhance user experiences.
Responsibilities:
• create, develop, and validate machine learning models
• work with highly cross-functional teams
• innovate and explore new machine learning solutions
• demonstrate excellent problem-solving skills
• exhibit critical thinking
• thrive under pressure in a dynamic environment
• show strong technical communication skills
• exercise fundamental project management abilities
• take proactive ownership for projects and tasks
• understand how projects 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
• 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
• 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
• Experience working with modern software development tools and version control tools
• Excellent problem-solving skills, critical thinking, and ability to work well under pressure in a dynamic environment.
• Excellent technical communication skills and fundamental project management abilities
• Demonstrated strong sense of ownership of a project or tasks and understanding of relationships to other tasks/projects
• Ability to travel up to 10% of the time (domestic and international).
Preferred:
• Master’s degree or PhD in Machine Learning or related field is preferred
• At least three years of hands-on experience applying machine learning principles and algorithms involving embedded systems, edge computing, signal processing or a related field (an advanced degree may count toward some experience)
• Experience with time series modelling, especially with related domains such as NLP, SLAM, forecasting, or audio/video processing
• Proven track record of developing, deploying and implementing AI or ML solutions connected to business objectives
• Proficient developing and debugging code in an embedded environment in a programming language such as C or C++
• Working knowledge of various sensor technologies (e.g. IMU, thermistors, magnetic and optical) and interfacing to microcontrollers
• Working knowledge of embedded systems architecture (HW & SW), microcontroller design and operation
• Experience with different types of data collection methods, understanding their principles and demonstrating their value in relevant environments
• Experience developing and deploying machine learning algorithms to edge environments
• Demonstrated ability to develop robust MLOps pipelines and ensure efficient deployment, monitoring and scaling of ML models
Company:
Milwaukee Tool manufactures electric power tools and accessories. It is a sub-organization of Techtronic Industries. Founded in 1924, the company is headquartered in Brookfield, USA, with a team of 5001-10000 employees. The company is currently .