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Data Scientist Machine Learning Jobs in Madison, WI

Qualifications Data Science, Analysis, Python, R, Statistical Modeling, Machine Learning Additional Information Thanks & Regards, Aditya Prakash / Resource Manager / Innovizant LLC Phone : 630-685 ...

Are you interested in applying machine learning or data mining on problems that truly improve people's life? We're looking for a mathematician/data scientist eager to tackle unique challenges in the ...

Are you interested in applying machine learning or data mining on problems that truly improve people's life? We're looking for a mathematician/data scientist eager to tackle unique challenges in the ...

Qualifications Data Science, Analysis, Python, R, Statistical Modeling, Machine Learning Additional Information Thanks & Regards, Aditya Prakash | Resource Manager | Innovizant LLC Phone : 630-685 ...

Senior Data Scientist

Madison, WI ยท On-site

$120 - $190/hr

Design, develop, and deploy first principles, machine learning, and hybrid models to optimize ... The Data Sciences professional we seek is an individual with these qualifications. Basic ...

New

Design, develop, and deploy first principles, machine learning, and hybrid models to optimize ... The Data Sciences professional we seek is an individual with these qualifications. Basic ...

Design, develop, and deploy first principles, machine learning, and hybrid models to optimize ... The Data Sciences professional we seek is an individual with these qualifications. Basic ...

Design, develop, and deploy first principles, machine learning, and hybrid models to optimize ... The Data Sciences professional we seek is an individual with these qualifications. Basic ...

... machine learning, and data mining * Organizes and automates project steps for data preparation and analysis Department: School of Medicine and Public Health, Population Health Institute The UW ...

Machine Learning Tutor

Madison, WI ยท Remote

$18 - $40/hr

... preparing students for data science roles and advanced AI coursework. * Conceptual Teaching ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Data Scientist

Madison, WI ยท On-site

$147K/yr

Mathematics, statistics, computer science, data science or field directly related to the position ... Designing or implementing artificial intelligence and machine learning models to analyze or ...

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Data Scientist Machine Learning information

See Madison, WI salary details

$37.8K

$123.8K

$198.1K

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

As of Aug 7, 2026, the average yearly pay for data scientist machine learning in Madison, WI is $123,762.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,300.00 and $137,100.00 per year, depending on experience, location, and employer.

What is a data scientist machine learning?

A Data Scientist specializing in Machine Learning (ML) uses statistical methods, algorithms, and computational power to analyze data and create predictive models. They work with large datasets to identify patterns, train machine learning models, and improve decision-making processes. Responsibilities often include data cleaning, feature engineering, model selection, and performance evaluation. They may collaborate with engineers and business teams to deploy models in real-world applications. Strong skills in programming (Python, R), ML frameworks (TensorFlow, Scikit-learn), and data visualization are essential.

What are the key skills and qualifications needed to thrive in the data scientist machine learning position, and why are they important?

To excel as a Data Scientist Machine Learning, you need a strong proficiency in statistics, programming (typically Python or R), and a solid understanding of machine learning algorithms, usually backed by a degree in computer science, mathematics, or a related field. Familiarity with tools such as TensorFlow, scikit-learn, SQL databases, and cloud platforms, as well as certifications in data science or machine learning, is commonly expected. Analytical thinking, problem-solving skills, and effective communication are vital soft skills in this profession. These qualifications combine to drive impactful insights and enable the successful development and deployment of machine learning models in business environments.

What are the typical day-to-day responsibilities of a data scientist machine learning?

On a typical day, a Data Scientist specializing in Machine Learning might gather and preprocess data, design and implement machine learning models, and evaluate their performance to solve real-world problems. They often collaborate with data engineers, software developers, and business stakeholders to translate business objectives into technical solutions and integrate models into existing systems. Other responsibilities can include visualizing data insights, conducting experiments to tune algorithms, and staying current with new developments in the field. The work is highly collaborative and iterative, requiring clear communication with various teams to ensure project goals are met efficiently.

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 Data Scientist Machine Learning jobs in Madison, WI? For Data Scientist Machine Learning jobs in Madison, WI, the most frequently searched job titles are:
What job categories do people searching Data Scientist Machine Learning jobs in Madison, WI look for? The top searched job categories for Data Scientist Machine Learning jobs in Madison, WI are:
Infographic showing various Data Scientist Machine Learning job openings in Madison, WI as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $123,762 per year, or $59.5 per hour.

Data Scientist - Logistics

Keka Technologies Private Limited

Oregon, WI โ€ข On-site

$100 - $130/hr

Other

Posted 2 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 realโ€‘world scenarios, ensuring robustness and accuracy.
  • Fineโ€‘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 crossโ€‘functional setting to identify key operational challenges and develop innovative dataโ€‘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 upโ€‘toโ€‘date with the latest advancements in AI, ML, and operations research, integrating cuttingโ€‘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 handsโ€‘on experience with time series forecasting methods (e.g., ARIMA, Prophet, LightGBM, TFT, DeepAR, Nโ€‘BEATS) and regression/classification models.
  • Practical experience with optimisation techniques and solvers (e.g., linear programming, mixedโ€‘integer programming, heuristic methods, ORโ€‘Tools, PuLP, or similar).
  • Proficiency in Python, including libraries such as Pandas, NumPy, Scikitโ€‘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 โ€“ Collaborate with a worldwide crew.
  • Brain Boosters โ€“ Learning budgets, access to courses, and tools for your growth.
  • Flexible Time Off โ€“ We take recharging seriously. Generous leave and wellness policies.
  • Agile Everything โ€“ Scrum isnโ€™t a buzzword here. Itโ€™s how we roll, from product to ops.
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