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Data Scientist Electrical Engineer Jobs in Wisconsin

ATI

Data Scientist

Cudahy, WI · On-site

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.

ATI

Data Scientist

Cudahy, WI

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.

Next Gen Alloys

Data Scientist

Cudahy, WI

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.

Innovizant LLC

Data Scientist

Madison, WI · On-site

Innovizant LLC, is a Full-service IT provider, focused on delivering Innovative and value driven business analytical solutions leveraging data science, data engineering and decision science to ...

Innovizant LLC

Data Scientist

Madison, WI

Innovizant LLC, is a Full-service IT provider, focused on delivering Innovative and value driven business analytical solutions leveraging data science, data engineering and decision science to ...

Salas O'Brien, Inc.

Electrical Engineer

Madison, WI · Hybrid

$80K - $90K/yr

Electrical Engineer (hybrid) Job Summary: The  Electrical Engineer  will use AutoCAD and REVIT ... Our specialized experience includes design for data centers, healthcare, science and technology ...

Salas O'Brien

Electrical Engineer

Madison, WI · On-site

$80K - $90K/yr

Electrical Engineer (hybrid) Job Summary: The Electrical Engineer will use AutoCAD and REVIT to ... Our specialized experience includes design for data centers, healthcare, science and technology ...

Valid8 Financial, Inc.

Data Scientist

Appleton, WI · On-site

$120 - $180/hr

Position Summary The Data Scientist, specializing in AI and Advanced Analytics, plays a key role ... Collaborate with engineering teams to deliver scalable data pipelines and solutions across modern ...

New

Relevant Engineering

Electrical Engineer

Milwaukee, WI · Hybrid

$90K - $120K/yr

Electrical Engineer Location: Milwaukee, WI Schedule: Primarily 1 st Shift with Some Travel ... Apply equipment nameplate information and verify data accuracy. * Identify installation ...

Amgen SA

Senior Data Scientist

Madison, WI · On-site

$120 - $190/hr

The ideal candidate will have a strong background in chemical engineering or mechanical engineering as well as expertise in data science to tackle challenging cross‑functional projects. Fundamental ...

New

Amgen

Senior Data Scientist

Madison, WI · On-site

The ideal candidate will have a strong background in chemical engineering or mechanical engineering as well as expertise in data science to tackle challenging crossfunctional projects. Fundamental ...

慨正橡扯

WI · On-site

$90 - $120/hr

... scientists and analysts, and applying advanced data science and big data mining techniques to ... Develops complex queries and performs extensive programming to access, transform, and prepare data ...

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All JobsData Scientist Electrical Engineer JobsData Scientist Electrical Engineer Jobs in Wisconsin

Data Scientist Electrical Engineer information

What are the key skills and qualifications needed to thrive as a data scientist electrical engineer, and why are they important?

To excel as a Data Scientist Electrical Engineer, you need a solid foundation in electrical engineering principles, statistics, and data analysis, usually supported by a degree in electrical engineering, computer science, or a related field. Proficiency in programming languages like Python or MATLAB, experience with machine learning frameworks, and familiarity with tools such as MATLAB, TensorFlow, and data visualization platforms are typically required. Strong problem-solving skills, effective communication, and the ability to collaborate across multidisciplinary teams are essential soft skills. These skills ensure that professionals can analyze complex engineering data, develop innovative solutions, and communicate insights effectively to drive technical advancements.

How does a data scientist electrical engineer typically collaborate with cross-functional teams to drive successful projects?

Data Scientist Electrical Engineers often work closely with hardware engineers, software developers, and data analytics teams to develop and optimize intelligent systems. Their role involves translating raw sensor or signal data into actionable insights through advanced analytics and machine learning models. Effective collaboration requires clear communication of complex technical findings and aligning analytical approaches with engineering constraints and project goals. This teamwork is essential for ensuring that data-driven solutions are feasible, scalable, and meet both technical and business requirements.

What does a data scientist electrical engineer do?

A Data Scientist Electrical Engineer combines expertise in electrical engineering with advanced data analysis and machine learning skills. They analyze large sets of electrical data from systems such as power grids, electronic devices, or sensors to identify patterns, optimize performance, and predict failures. These professionals often work on smart grid technology, IoT applications, or improving the efficiency and reliability of electrical systems through data-driven insights. Their role bridges traditional engineering practices with modern data science techniques.

What is the difference between Data Scientist Electrical Engineer vs Electrical Engineer?

AspectData Scientist Electrical EngineerElectrical Engineer
Required CredentialsBachelor's or Master's in Electrical Engineering, Data Science, or related fields; certifications like IEEE or data analytics certificationsBachelor's or Master's in Electrical Engineering; Professional Engineer (PE) license often preferred
Work EnvironmentTech companies, R&D labs, industries integrating data analysis with electrical systemsPower plants, manufacturing, construction, and infrastructure projects
Industry UsageData-driven electrical system optimization, predictive maintenance, IoT applicationsDesign, develop, and maintain electrical systems and equipment

Data Scientist Electrical Engineers combine electrical engineering expertise with data analysis skills to optimize electrical systems and develop innovative solutions. In contrast, Electrical Engineers focus on designing and maintaining electrical infrastructure. Both roles require strong technical credentials but differ in their focus on data analytics versus traditional electrical design.

Can an electrical engineer work as a data scientist?

An electrical engineer can work as a data scientist if they acquire relevant skills such as programming in Python or R, understanding of machine learning algorithms, and data analysis techniques. Many data scientists have backgrounds in engineering, mathematics, or computer science, and transitioning often involves additional training or certification in data analytics and statistics.
What are popular job titles related to Data Scientist Electrical Engineer jobs in Wisconsin? For Data Scientist Electrical Engineer jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Data Scientist Electrical Engineer jobs in Wisconsin look for? The top searched job categories for Data Scientist Electrical Engineer jobs in Wisconsin are:
What cities in Wisconsin are hiring for Data Scientist Electrical Engineer jobs? Cities in Wisconsin with the most Data Scientist Electrical Engineer job openings:
Data Scientist Electrical Engineer jobs near you
Infographic showing various Data Scientist Electrical Engineer job openings in Wisconsin as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, 1% Temporary, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Data Scientist - Logistics

Keka Technologies Private Limited

Oregon, WI • On-site

$100 - $130/hr

Other

Posted 3 days ago

New

Job description

Responsibilities
  • Lead the research, development, and implementation of advanced time series forecasting models to optimise logistics operations, including ETA prediction, preparation times, and demand forecasting.
  • Design and implement optimization algorithms and solvers to improve logistics network efficiency, route planning, and resource allocation.
  • Design and conduct rigorous experiments to test, validate, and benchmark models under various real‑world scenarios, ensuring robustness and accuracy.
  • Fine‑tune, deploy, and monitor ML models and applications in production, maintaining retraining pipelines and ensuring model performance over time.
  • Collaborate with ML engineers, backend engineers, researchers, and product engineers in a cross‑functional setting to identify key operational challenges and develop innovative data‑driven solutions.
  • Conduct A/B tests and other experimentation techniques to evaluate model impact and drive continuous improvement across logistics KPIs.
  • Translate complex analytical results into actionable business insights, presenting findings to senior leadership and stakeholders.
  • Provide technical leadership in data science, mentoring junior team members and driving best practices in modelling, experimentation, and code quality.
  • Stay up‑to‑date with the latest advancements in AI, ML, and operations research, integrating cutting‑edge techniques into logistics solutions.
Qualifications
  • MSc in Data Science, Statistics, Applied Mathematics, Computer Science, or a related field.
  • Nice to Have: PhD in Data Science, Statistics, Computer Science, Electrical Engineering, or equivalent industrial experience.
  • 5+ years of experience in data science, machine learning, or statistical modelling, with a strong focus on time series forecasting and/or optimisation problems.
  • Extensive hands‑on experience with time series forecasting methods (e.g., ARIMA, Prophet, LightGBM, TFT, DeepAR, N‑BEATS) and regression/classification models.
  • Practical experience with optimisation techniques and solvers (e.g., linear programming, mixed‑integer programming, heuristic methods, OR‑Tools, PuLP, or similar).
  • Proficiency in Python, including libraries such as Pandas, NumPy, Scikit‑learn, Optuna, LightGBM, TensorFlow, or PyTorch.
  • Practical experience in developing and deploying ML models at scale, including monitoring and retraining pipelines.
  • Practical experience in A/B testing and other experimentation techniques.
  • Strong experience handling large datasets and proficiency with SQL databases (BigQuery, Redash or others).
  • Experience with cloud platforms such as AWS (ECS, S3, Lambda, Step Functions), GCP (BigQuery, VertexAI), and/or Databricks for ML model development and deployment.
  • Proven experience in the delivery and logistics industry, with a strong understanding of its operational challenges and optimisation opportunities (a plus).
Benefits
  • Global Vibes – Collaborate with a worldwide crew.
  • Brain Boosters – Learning budgets, access to courses, and tools for your growth.
  • Flexible Time Off – We take recharging seriously. Generous leave and wellness policies.
  • Agile Everything – Scrum isn’t a buzzword here. It’s how we roll, from product to ops.
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